Below is a list of books written with bookdown, including those published to bookdown.org (books without substantial content are excluded) and a few hosted on external servers. The books are ordered roughly by date. An asterisk * after a date indicates the date is unknown, which often means a date field is missing in the YAML metadata of the source document index.Rmd. The list of books is automatically generated. For more information (including how to add or remove your books on this page), please see the About page.

An Introduction to Acceptance Sampling and SPC with R

by John Lawson

2019-12-04

The output format for this book is bookdown::gitbook. […] This e-book was originally written for Stat 462 (Quality Control)(see Description) taught in the Statistics Department at Brigham Young University. It is free to read online here, and is licensed inder the Creative Commons Attribution-NonComercial-ShareAlike 4.0 International License (http://creativecommons.org/licenses/by-nc-sa/4.0/) One of the objectives of Stat 462 is to prepare students to pass the ASQ Certified Quality Process Analyst Exam. The book The Certified Quality Process Analyst Handbook by (Christensen, Betz, and Stein … Read more →

1

Lab Notebook

by Naomi J. Goodrich-Hunsaker, Ph.D.

2019-12-04

Lab Notebook […] This notebook contains a general record of my experimental work. If additional information or further clarification is needed, email me at naomi.hunsaker@utah.edu. … Read more →

2

PostgreSQL Explained for R-Users and R-Programmers

by Ben Gonzalez

2019-12-04

This is a book that explains PostgresSQL for R programmers and helps explain SQL syntax as well. […] For anyone interested in using this book you will need the following packages and tools to follow along. The RPostgreSQL and DBI package can be installed from CRAN or Github: Notes on using SQL syntax in RPostgreSQL To successfully query data in PostgreSQL the following caveats may be necessary. This is especially the case if someone has created column names that are unique and odd in some form or … Read more →

3

Notes for Predictive Modeling

by Eduardo García Portugués

2019-12-04
Notes for Predictive Modeling

Notes for Predictive Modeling. MSc in Big Data Analytics. Carlos III University of Madrid. […] Welcome to the notes for Predictive Modeling for the course 2019⁄2020. The subject is part of the MSc in Big Data Analytics from Carlos III University of Madrid. The course is designed to have, roughly, one lesson per each main topic in the syllabus. The schedule is tight due to time constraints, which will inevitably make the treatment of certain methods a little superficial compared with what it would be the optimal. Nevertheless, the course will hopefully give you a respectable panoramic view … Read more →

4

課程介紹 | ntpu-datavisualization.utf8.md

by tpemartin

2019-12-04

經濟資料視覺化 […] This course is designed to develop the skill of efficient graphic language, where efficiency is defined as the data information delivery that is self-contained, concise, and non-distorting. The programming language is mainly based on R, with a little bit of Javascript toward the end. Though there is no computer programming knowledge required, basic R knowledge will help (the ebook, R for Data Science, would be a good start). By the end of the course, students who learn well should be able to design professional … Read more →

5

Geostatystyka w R

by Jakub Nowosad

2019-12-04
Geostatystyka w R

Introduction to geostatistics with R (in Polish). Skrypt ma na celu wprowadzenie do analiz przestrzennych (GIS) używająć języka programowania R, a następnie zastosowanie uzyskanej wiedzy do wykonania estymacji (interpolacji) oraz symulacji geostatystycznych. […] Skrypt jest obecnie aktualizowany do celów trzeciego wydania. Masz przed sobą skrypt zawierający materiały do ćwiczeń z geostatystyki. Składa się ona z kilkunastu rozdziałów pokazujących jak: wygląda geostatystyczna analiza danych (rozdział 1), dodawać i wizualizować dane przestrzenne w R (rozdział 2), wykonywać wstępną eksplorację … Read more →

6

『Rによる原因を推論する』

by 北川 梨津

2019-12-04
『Rによる原因を推論する』

久米ゼミのプレゼミのための教材です. […] 久米郁男ゼミにようこそ.これから皆さんは,因果推論の方法を2年間みっちり学びます.久米ゼミでは,因果推論のツールとして主に計量分析を利用します.計量分析のためには,数多くの統計解析を行ってくれる統計ソフトウェアを使いこなせることが不可欠です.本書は,『原因を推論する』で提示されるフレームワークに添いながら,Rというプログラミング言語による初歩的な計量分析を実践的に解説することを目的とします. 2年間,因果推論と計量分析をまじめに学べば,あなたの市場価値は飛躍的に高まるはずです.その第一歩を確実に踏み出しましょう.努力は実らないこともありますが,実るまで努 … Read more →

7

Metode Numerik Menggunakan R Untuk Teknik Lingkungan

by Mohammad Rosidi

2019-12-04

Komputasi metode numerik menggunakan R dengan contoh kasus di bidang teknik lingkungan. Buku ini dapat menjadi rujukan bagi mahasiswa yang ingin mendalami proses komputasi metode numerik menggunakan R. Buku ini disusun sedemikian rupa dengan bahasa yang sederhana agar mudah dipahami oleh mahasiswa … Read more →

8

数理统计讲义

by 何志坚

2019-12-04

数理统计讲义 […] 本讲义为《数理统计》课程配套材料,大部分为课堂讲解内容。第1章介绍了数理统计基本概念。第2章介绍了点估计方法,包括矩法估计、极大似然估计,还介绍了区间估计方法。第3章介绍了假设检验基本概念以及似然比检验方法。第4章介绍了一元线性回归和多元线性回归模型,以及最小二乘估计,相应的区间估计和显著性检验。 献给我的妻子和儿子。 本讲义仅供选修《数理统计》课程的同学学习使用,如有其它用途请联系作者:hezhijian@scut.edu.cn … Read more →

9

rOpenSci Packages: Development, Maintenance, and Peer Review

by rOpenSci software review editorial team: Brooke Anderson, Scott Chamberlain, Anna Krystalli, Lincoln Mullen, Karthik Ram, Noam Ross, Maëlle Salmon, Melina Vidoni

2019-12-04
rOpenSci Packages: Development, Maintenance, and Peer Review

Extended version of the rOpenSci packaging guide. This book is a guide for authors, maintainers, reviewers and editors of rOpenSci. The first section of the book contains our guidelines for creating and testing R packages. The second section is dedicated to rOpenSci’s software peer review process: what it is, our policies, and specific guides for authors, editors and reviewers throughout the process. The third and last section features our best practice for nurturing your package once it has been onboarded: how to collaborate with other developers, how to document releases, how to promote your package and how to leverage GitHub as a development platform. The third section also features a chapter for anyone wishing to start contributing to rOpenSci packages. Read more →

10

Data Processing & Visualization

by Michael Clark

2019-12-03
Data Processing & Visualization

The focus of this document is on common data processing and exploration techniques in R, especially as a prelude to visualization. The first part of the document will cover data structures, the dplyr and tidyverse packages, which enhance and facilitate the sorts of operations that typically arise when dealing with data, including faster I/O and grouped operations. For visualization, the focus will be on using ggplot2 and other packages that allow for interactivity. In addition, basic programming concepts and techniques are introduced. Exercises may be found in the document as well. In addition, the demonstrations of the data processing section are available in Python via Jupyter notebooks. Read more →

11

edav.info/

by Zach Bogart, Joyce Robbins

2019-12-03
edav.info/

This resource is a collaborative collection of resources designed to help students succeed in GR5702 Exploratory Data Analysis and Visualization, a course offered at Columbia University. While the course lectures and textbook focus on theoretical issues, this resource, in contrast, provides coding tips and examples to assist students as they create their own analyses and visualizations. It is our hope that students will contribute to edav.info and it will grow with the course. Read more →

12

EMMERG Spatial

by Gabriel Carrasco

2019-12-02

Working notes … Read more →

13

Data Science for Psychologists

by Hansjörg Neth

2019-12-02
Data Science for Psychologists

This book provides an introduction to data science that is tailored to the needs of psychologists, but is also suitable for students of the humanities and other biological or social sciences. This audience typically has some knowledge of statistics, but rarely an idea how data is prepared and shaped to allow for statistical testing. By using various data types and working with many examples, we teach tools for transforming, summarizing, and visualizing data. By keeping our eyes open for the perils of misleading representations, the book fosters fundamental skills of data literacy and cultivates reproducible research practices that enable and precede any practical use of statistics. Read more →

14

blogdown: Creating Websites with R Markdown

by Yihui Xie, Amber Thomas, Alison Presmanes Hill

2019-12-02
blogdown: Creating Websites with R Markdown

A guide to creating websites with R Markdown and the R package blogdown. […] In the summer of 2012, I did my internship at AT&T Labs Research,1 where I attended a talk given by Carlos Scheidegger (https://cscheid.net), and Carlos said something along the lines of “if you don’t have a website nowadays, you don’t exist.” Later I paraphrased it as: “I web, therefore I am a spiderman.” Carlos’s words resonated very well with me, although they were a little exaggerated. A well-designed and maintained website can be extremely helpful for other people to know you, and you do not need to wait for … Read more →

15

R Markdown: The Definitive Guide

by Yihui Xie, J. J. Allaire, Garrett Grolemund

2019-12-02
R Markdown: The Definitive Guide

The first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive applications, books, dissertations, websites, and journal articles, while enjoying the simplicity of Markdown and the great power of R and other languages. Read more →

16

数据科学中的 R 语言

by 王敏杰

2019-12-02

一个简单的中文书示例。 […] 你好,这里是四川师范大学研究生公选课《数据科学中的R语言》的课程内容。考虑到大家来自不同的学院,有着不同的学科背景,因此讲授的内容不会太深奥(要有信心喔)。 比如在课程中以下内容就不会出现 [ f(x)=\frac{1}{\sqrt{2 \pi}} e^{-\frac{1}{2} x^{2}} ] 而出现更多的是 在跟进本课程的同时, 我强烈推荐大家阅读Hadley Wickham的 r4ds这本书 (Grolemund and Wickham 2017)。作者可是2019年8月刚刚获得考普斯总统奖(被誉为统计学的诺贝尔奖)的大神喔,点击这里可以看他照片。 1、课程安排是这样的,每个章节研究的内容都是彼此独立的,大家可以单独阅读每章及运行代码。 2、课件源代码和数据 3、关于课程目标 课程目标: … Read more →

17

Exploration de données avec R

by Anouar El Ghouch

2019-12-01

Ce document est une introduction à l’utilisation du logiciel libre de traitement de données et d’analyse statistique R. il est inspiré de plusieurs sources: Ce document vise à introduire uniquement les notions de base nécessaire à connaitre pour quelqu’un qui découvre le logiciel pour la première … Read more →

18

Marrow’s Compendium of Dragonslaying

by Marrow , Heartseeker-US

2019-12-01

This is a Fury Warrior Guide for World of Warcraft Classic. […] This is a guide on how to play a Fury Warrior in World of Warcraft Classic. It is a work in progress and a living document. All of the information contained within reflects what is best understood as of today, and some of is subject to change as more about the game is discovered. More importantly, this is a guide for players who want to push the envelope of their class, and be the best they can be. That is not the playstyle of every player, nor am I advocating it should be. Ultimately, you should pick your race and spec so that … Read more →

19

Researching and writing for Economics students

by Dr. David Reinstein, University of Exeter, main web page, innovationsinfundraising.org, Twitter: givingtools

2019-12-01
Researching and writing for Economics students

An interactive guide to doing Economics research, mainly aimed at undergraduates; a work in progress […] Note to friends I’ve asked to look at this book… Thanks for looking at this. You can leave feedback however you like, including via ‘hypothes.is’ as suggested just below. Let me know if you want acccess to the github account. This is a work in progress; I’ve moved most, but far from all of the content over from my previous notes on this, which date from 2014. This was mainly targeted at the Essex Undergraduate Economics students; roughly 400 a year were required to write dissertations. … Read more →

20

R - u znanosti i obrazovanju

by Goran Kardum

2019-11-29

R - u znanosti […] NAPOMENA: Tekst je u izradi (nije lektoriran i provjeren do kraja, nisu povezani svi literaturni navodi!) Knjiga je namijenjena svima koji žele naučiti modele obrade i prikaza podataka pomoću R jezika koristeći aplikaciju RStudio. Knjiga nije samo vodič kroz R jezik i RStudio aplikaciju, već koristi brojne izvore informacija te usporedbe različitih metoda koje se koriste u društvenim, humanističkim i biomedicinskim znanostima. Tako, ovdje možemo pronaći usporedbe različitih eksplanatornih i konfirmatornih metoda s brojnim referencijama te modeliranje (SEM). Ovo djelo nije … Read more →

21

Geocomputation with R

by Robin Lovelace, Jakub Nowosad, Jannes Muenchow

2019-11-28
Geocomputation with R

Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data. Read more →

22

R Markdown Cookbook

by Yihui Xie

2019-11-27

Examples, tips, and tricks of using R Markdown. […] This book is in a very early stage of development. If you have any suggestions on what should be included within this book, please get in touch via GitHub. R Markdown is a powerful tool for combining analysis and reporting into the same document. Since the development of the rmarkdown package (Allaire et al. 2019), it has grown to become a diverse ecosystem of code, and reports, books and websites can all easily be generated directly from R code. There is a wealth of guidance which has grown over the past few years, and the book R … Read more →

23

Doing Bayesian Data Analysis in brms and the tidyverse

by A Solomon Kurz

2019-11-27

This project is an attempt to re-express the code in Kruschke’s (2014) textbook. His models are re-fit in brms, plots are redone with ggplot2, and the general data wrangling code predominantly follows the tidyverse style. […] Kruschke began his text with “This book explains how to actually do Bayesian data analysis, by real people (like you), for realistic data (like yours).” In the same way, this project is designed to help those real people do Bayesian data analysis. My contribution is converting Kruschke’s JAGS code for use in Bürkner’s brms package, which makes it easier to fit Bayesian … Read more →

24

Measuring what matters: Introduction to Rasch Analysis

by Exercise and data: Anthony Clairmont; Assistance, web: Daniel Katz; Direction: Mike Wilton

2019-11-27

This book is meant to be used as a guide for DBER participants in the Rasch workshop […] This is meant to be a very general introduction for using the Rasch model to help construct measures and surveys in discipline based education research. This is meant to get you started but is by no means where you should stop. Please see the references section for where to go … Read more →

25

Doing Meta-Analysis in R

by Mathias Harrer, M.Sc.¹, Prof. Dr. Pim Cuijpers², Prof. Dr. Toshi A. Furukawa³, Assoc. Prof. Dr. David D. Ebert²

2019-11-27

This is a guide on how to conduct Meta-Analyses in R. […] This guide shows you how to conduct meta-analyses in R from scratch. The focus of this guide is primarily on clinical outcome research in psychology. It was designed for staff and collaborators of the Protect Lab, which is headed by Prof. Dr. David D. Ebert. Although this guide will provide some information on the statistics behind meta-analysis, it will not give you an in-depth introduction into how meta-analyses are calculated statistically. It is also beyond the scope of this guide to advise in detail which meta-analytical … Read more →

26

Se former au logiciel R : initiation et perfectionnement

by François Rebaudo

2019-11-27
Se former au logiciel R : initiation et perfectionnement

Un guide pour acquérir les bases de la programmation avec R et conduire efficacement la gestion et l’analyse de ses données. […] Ce livre est mis à jour régulièrement, alors n’hésitez pas à consulter les dernières modifications ci-dessous. Si vous avez des commentaires, des suggestions ou si vous identifiez des erreurs, n’hésitez pas à m’envoyer un email (francois.rebaudo@ird.fr), ou si vous connaissez GitHub sur le site du projet (https://github.com/frareb/myRBook_FR). Ce livre est collaboratif, il repose sur votre participation. Les diapositives du module de 35h sur l’analyse de variance … Read more →

27

醫學統計學

by 王 超辰 Chaochen Wang

2019-11-27
醫學統計學

在LSHTM的學習筆記 […] We are drowning in information and starving for knowledge. — Rutherford D. Roger 尚未想好寫什麼作前言。我只是默默地想留下一些筆記和思考。本書用了兩個 R 包編譯,分別是 knitr (Xie 2015) 和 bookdown (Xie 2018)。 在開始倒計時離開倫敦的時刻,我再次翻閱這些思考過的,痛苦過的,糾結過的,忐忑過的,這一年的學習筆記,感慨良多。倫敦衛生與熱帶醫學院 曾經是,現在依然還是我魂牽夢繞的學院,它的歷史積澱,它的小巧精緻,在它的樓道里度過的每一天都是那麼的充實而值得感動。這本書不僅僅是我的統計學學習的心路歷程,還傾注了這裡每一位老師,每一個一起奮鬥過的同學,我們的歡聲笑語,我們的喜怒哀樂。如果你的電腦/手機/iPad屏幕上打開了這本書,說明你將要或者已經是我的同仁,如果此生有 … Read more →

28

Social Advocacy & Ethical Life

by Yuleng Zeng

2019-11-26

This is an introduction to Social Advocacy & Ethical Life (SAEL 200). It is a class I started teaching in Fall 2019, as a member of the Bridge Humanities Corps (BHC) at the University of South Carolina. In compiling this document, I consult a number of online resources. The intention is to record the process of my preparation for this class and help me improve over time. If you see errors, have suggestions, or do not wish your material to be cited here, please do shoot me an … Read more →

29

Summaries of my readings

by Giulia Bertoldo

2019-11-26

This is a collection of summaries and notes that I take when reading papers and books. The main purpose is to help me remember the main points and access the material again more easily. I just started transferring into bookdown the worked I have done in different previous platforms. I hope this will be populated soon! The topics reflect my interests, which are research methodology, metascience, applied statistics and philosophy of science. How are summaries drafted? I try as much as possible to follow a sort of guideline reported in the template below. However, I am always looking for better … Read more →

30

Predictive Models: Explore, Explain, and Debug

by Przemyslaw Biecek and Tomasz Burzykowski

2019-11-26

This book introduces key concepts for exploration, explanation and visualization of complex predictive models. […] … Read more →

31

数据分析残卷

by 于淼

2019-11-25

数据分析世界的清明上河图 […] 学习都是从模仿开始的,而模仿则意味着不加区别的接受,若是混口饭吃,自然也就够了,但模仿多了便能看到这知识表象下的东西。如果还能提炼一下,变成了自己的经验,各种经验互相联系影响,便有了理论。所以学习大都从知识点开始,而以形成一家之言为终,倘若这一家之言可以得到别人的认可,知识就开始传承了。且不论有多少东西会被反复发现发明出来,但是世界在某种程度上是可知的便是智慧生物生存的福利。 就数据分析而言,我自学过很多教材,可以说不同门派间手段差异非常大,但总又妄想一统江湖,所以便有了这份笔记来整合。不论最终的完成度如何,这都只会是一本残卷,因为这世界总有未知,也因此总有希望。 … Read more →

32

RMarkdown for Scientists

by Nicholas Tierney

2019-11-25

A book created for a 3 hour workshop on rmarkdown […] This is a book on rmarkdown, aimed for scientists. It was initially developed as a 3 hour workshop, but is now developed into a resource that will grow and change over time as a living book. This book aims to teach the following: There are many great books on R Markdown and it’s various features, such as “Rmarkdown: The definitive guide”, “bookdown: Authoring Books and Technical Documents with R Markdown”, and “Dynamic Documents with R and knitr, Second edition”, and Yihui Xie’s thesis, “Dynamic Graphics and Reporting for Statistics”. So … Read more →

33

Text Mining with R

by Julia Silge and David Robinson

2019-11-24
Text Mining with R

A guide to text analysis within the tidy data framework, using the tidytext package and other tidy tools […] This is the website for Text Mining with R! Visit the GitHub repository for this site, find the book at O’Reilly, or buy it on Amazon. This work by Julia Silge and David Robinson is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 United States … Read more →

34

Knowing the KPI Trend Without Seeing the Chart

by Ace Mark Acebedo

2019-11-23

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] The skill of charting and consequently reading the KPI trend is one of the most basic things that I had to learn on the job as a Telco Engineer. I am using the skill to evaluate cell performance over a definite observation period (i.e. days, weeks, months, years etc.). Since it is a most basic skill, creating a guideline to do it nowadays is never a matter of serious consideration if not a downright laughable joke. But, just like me, if you’ve become … Read more →

35

bookdown: Authoring Books and Technical Documents with R Markdown

by Yihui Xie

2019-11-22
bookdown: Authoring Books and Technical Documents with R Markdown

A guide to authoring books with R Markdown, including how to generate figures and tables, and insert cross-references, citations, HTML widgets, and Shiny apps in R Markdown. The book can be exported to HTML, PDF, and e-books (e.g. EPUB). The book style is customizable. You can easily write and preview the book in RStudio IDE or other editors, and host the book wherever you want (e.g. bookdown.org). Read more →

36

Data Analysis for Psychology in R (dapR1) - Labs

by Department of Psychology, University of Edinburgh

2019-11-22

This is the page that contains the course labs materials […] Data Analysis for Psychology in R 1 (dapR1) is your first step on the road to being a data, programming and applied statistics guru! This course provides a introduction to data, R and statistics. It is designed to work slowly through conceptual content that form the basis of understanding and working with data to perform statistical testing. At the same time, we will be introducing you to basic programming in R, covering the fundamentals of working with data, visualization and simple statistical tests. The overall aim of the … Read more →

37

Neuroimaging Protocols

by Naomi J. Goodrich-Hunsaker, Ph.D.

2019-11-22

Neuroimaging Protocols […] This manual contains a general descriptions of all neuroimaging pipelines currently being used to analyze MRI scans. If additional information or further clarification is needed, email me at naomi.hunsaker@utah.edu. … Read more →

38

Physik Libre

by Michael A. Rundel, et al.

2019-11-22

Freies Physikbuch für die Sekundarstufe II … Read more →

39

Readings in applied data science

by Qiushi Yan

2019-11-21

Readings in applied data science […] This project is highly motivated and inspired by stats337 at Stanford University offered by Hadley Wickham, and Data Science with R: A Resource Compendium by Martin Monkman. They both provided great reading materials in data analysis with R, or applied data science in general. Here I attempt to finish one or two papers per week, draw a brief summary, and document my personal … Read more →

40

經濟數學程式設計專題

by 國立臺北大學 林茂廷老師

2019-11-21

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] 作業 70% 期末專題 30% 學習以下的能力及知識: 基礎Python語法 經濟模型/統計模型(含機器學習)所需面對的數學問題及其求解概念 電腦數值分析求解確定及不確定狀態下的極值問題 本課程雖無電腦程式基礎要求,但建議有基本概念(R或Python均可)。 基礎數學概念: 微分/積分/梯度等 確定狀態下的極值問題: 無限制絛件/有限制條件 基礎統計概念: 隨機變數/估計式/抽樣分配等 不確定狀態下的極值問題: 無限制條件/有限制條件 1. Install Python via Anaconda 連到https://www.anaconda.com/點Download,下載對應自己系統的版本。(請安裝Pyhton 3.X版,其中X為數字 … Read more →

41

資料科學程式設計–進階

by 國立臺北大學 林茂廷老師

2019-11-21

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] 本課程為自主學習,電子書的每個章節會說明要讀那些參考資料,接著會有練習題組來測驗同學的理解狀況。 … Read more →

42

Statistical Tools for Causal Inference

by The SKY Community

2019-11-21

This is an open source collaborative book. […] $$ \newcommand{\uns}[1]{\mathbf{1}[#1]} \newcommand{\esp}[1]{\mathbf{E}[#1]} \newcommand{\Ind}{\perp\kern-5pt\perp} \newcommand{\var}[1]{\mathbf{V}[ #1 ]} \newcommand{\cov}[1]{\mathbf{C}[ #1 ]} \newcommand{\plim}[1]{\text{plim}_{ #1 \rightarrow \infty}} \newcommand{\plims}{\text{plim}} \newcommand{\partder}[2]{\frac{\partial #1}{\partial #2}} \DeclareMathOperator{\diag}{diag} $$ div.sourceCode { overflow-x: auto; } table.sourceCode, tr.sourceCode, td.lineNumbers, td.sourceCode { margin: 0; padding: 0; vertical-align: baseline; border: none; … Read more →

43

R for data science 笔记

by Maxine

2019-11-20

R for data science 笔记 […] 内容主要基于 R for Data Science 和 Advanced R 两本书,前面章节的文字表述借鉴了中文译本。目前基本再现了原书中的内容,接下来会作为一本不断更新的手册,分享一些 R … Read more →

44

Introduction to Quantitative Methods in R

by Eric van Holm, PhD

2019-11-18

This is a textbook written for POLI 2900 at the University of New Orleans. […] This book is written for use in POLI 2900: Methods of Political Research at the University of New Orleans. It was originally written for the Fall of 2019, but will continue to be updated after that class. In this book I cover quantitative research techniques common to the social sciences as well as attempt to develop student’s skills in programming. In order to practice programming and learn quantitative methods, we will utilize R, a popular programming language for data scientists and researchers. This book is … Read more →

45

数据科学与 R 语言

by 黄湘云

2019-11-17

数据操作、数据分析、数据建模、动态报告和数据可视化 […] 这本书还处于一个很早期的阶段 GNU R 是发布在 GPL-2⁄3 下的开源自由软件,意味着只要你遵循该协议,就可以自由地获取、修改和发布R 源代码,R 本身的这种开源自由的属性,决定你可以免费地使用它。《The Art of R Programming》的作者 Norm Matloff 给出使用 R 语言的四个优势:它是统计学家开发的,也是为统计学家打造的;内建的矩阵类型和矩阵操作非常高效;不管是来自基础 R 还是 CRAN 上的绘图包,都提供强大的绘图功能;还有优秀的并行能力1,最近他更是在数据科学中全面比较了 R 与 Python2。关于 R 语言和 Python 语言的对比,网络上充斥着很多的文章,除了赞扬,还有表示反对的声音,如 R语言采用的对 GPL 协议3,甚至有人列举了逃离 R 语言阵营的10大上榜理由4,datacamp 提供了一份较为完整的对比图,仅供参考5。如果你是学统计的学生或者数据分析师,我都建议你先学习 … Read more →

46

Summary of Presentation at the International Justice Forum in Nur-Sultan 2019

by Jesper Wittrup

2019-11-16

My presentation in Nur-Sultan. […] Accurate measurement of court workload is an essential component of modern judicial management. Many tasks – including performance measurement, budgeting, allocation of judges and other staff, and assessments of judicial maps - crucially depend upon a proper measurement of judicial workload. Unfortunately, court workload is in many countries still primarily assessed by the total number of cases, not taking into account distinctions between routine cases and very complex and time-consuming cases. This article demonstrates – by reference to a concrete … Read more →

47

现代统计图形

by 谢益辉, 黄湘云, 赵鹏

2019-11-16

现代统计图形书稿 […] 本书写作过程中收到来自 Song Li、 JackieMe 、 yang 的贡献,在此表示感谢,我们欢迎更多的人参与改进本书。 本书搬迁过程中更新、替换了原稿中的很多代码,现在与本书配套的 R 软件版本是 R Under development (unstable) (2019-11-11 r77397),我们同时也在 R 版本 3.6.1 中完成测试。为方便读者复现本书中的计算结果和统计图形,同时也为了方便在 Travis 上自动测试贡献者提交的 PR 和自动部署每次提交的修改,本书的运行环境已经被打包成 Docker 镜像,托管在 Docker Hub 上,镜像地址是 https://hub.docker.com/r/xiangyunhuang/msg-book, 读者可从 Docker Hub 上下载,也可根据目录 docker/ 下的 Dockerfile … Read more →

48

Accessible Web Development

by Kevin Morales

2019-11-15

This book introduces a completely blind person to web development using HTML, CSS, and JavaScript. […] Welcome to Accessible Web Development! Up to today, any type of graphics programming, or any kind of software development that is visual in nature is inaccessible to people with complete vision loss, for ovbious and nonovbious reasons. To complicate matters further, text editors are mostly written with sighted programmers in mind. Furthermore, it is estimated that seventy percent of the legally blind population is unemployed. Developers of software libraries write their documentation and … Read more →

49

Uber Movement dataset : playing with spatial data

by Clement Lefevre

2019-11-15

Using the Uber Movement dataset, we combine it with the OpenStreetMap data for Berlin. […] Uber released for some cities the datasets of their drivers movement. Those include the OSM way identifier, the mean and standard speed deviation. In order to anonymize them, the data have been aggregated per hour. Let’s have a look at the Berlin data for the month of June 2019, and how they are distributed in space and time. For this, we will combine those data with the OpenStreetMap shapefile for Berlin. Through this book, we will use some concepts of data analysis … Read more →

50

Data Skills for Reproducible Science

by psyteachr.github.io

2019-11-15

This course provides an overview of skills needed for reproducible research and open science using the statistical programming language R. Students will learn about data visualisation, data tidying and wrangling, archiving, iteration and functions, probability and data simulations, general linear models, and reproducible workflows. Learning is reinforced through weekly assignments that involve working with different types of data. Read more →

51

Interpretable Machine Learning

by Christoph Molnar

2019-11-15

Machine learning algorithms usually operate as black boxes and it is unclear how they derived a certain decision. This book is a guide for practitioners to make machine learning decisions interpretable. […] Machine learning has great potential for improving products, processes and research. But computers usually do not explain their predictions which is a barrier to the adoption of machine learning. This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as … Read more →

52

Book_MI.utf8.md

by mwheymans

2019-11-14

Copyright ©2019 by Heymans and Eekhout All rights reserved. No part of this book may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, or by any information storage and retrieval system, without permission in writing from the … Read more →

53

Modelltheoretische Grundlagen wirtschaftspolitischer Kontroversen

by mgwkshiny

2019-11-14

… […] 1. Der empirische Bezugspunkt unserer Modellwelt 2. Die gesamtwirtschafliche Nachfrage 3. Der private Konsum 4. Die Investitionen 5. Die staatliche Nachfrage 6. Das Gütermarktgleichgewicht und der Multiplikator 7. Die IS-Kurve 8. Arbeitsangebot, Beschäftigung und Produktivität 9. Inflation - der Konflikt zwischen Löhnen und Profiten 10. Wirtschaftspolitik im neu-keyensianischen 3-Gleichungen-Modell 11. Vom neu-keynesianischen zum post-keynesiansischen … Read more →

54

可视化软件工具与应用 课程作业

by 闫求识

2019-11-13

可视化软件工具与应用 课程作业 […] This bookdown project contains my code and solutions to the data visualization course https://github.com/haoyuns/Fall-2019. … Read more →

55

R语言在心理学中的应用

by R语言学习小组

2019-11-13

心理学读书笔记 […] 你好,这里是四川师范大学心理学院R语言讨论小组,欢迎围观。也欢迎同学们选择更多的文献,我们一起重复和学习。 我用了两个 R 包编译这本书,分别是 knitr (Xie 2015) 和 bookdown (Xie 2019)。以下是我的 R 进程信息: 感谢遇到你,在最美的年华! Xie, Yihui. 2015. Dynamic Documents with R and Knitr. 2nd ed. Boca Raton, Florida: Chapman; Hall/CRC. http://yihui.name/knitr/. Xie, Yihui. 2019. Bookdown: Authoring Books and Technical Documents with R Markdown. https://CRAN.R-project.org/package=bookdown. … Read more →

56

Réalisation de Mini Projets R

by content

2019-11-12

Site DIAMBAN Lamine bookdown::gitbook. […] Ce blog est un mémoire qui regroupe quelques uns des projets que je réalise en statistique spécialement en R et Tidyverse. En effet, étudiant en M2 Statistique et Science des données à l’IM2AG de Grenoble, j’ai eu à effectuer divers projets dans le cadre de ma formation. Mais aussi, par pur passion et afin de mieux consolider mes connaissances, j’aime appliquer la science des statistiques dans mes domaines d’intérêt. Il est vrai qu’en dehors de mes études, j’ai une passion pour les nouvelles technologies, le sport, le cinéma notamment les courts … Read more →

57

GSL causeway and salinity

by Jake Vander Laan (jvander@utah.gov), Utah Division of Water Quality

2019-11-12

GSL causeway and salinity […] This documents contains a series of figures and analyses of Great Salt Lake (GSL) salinity, focused on the effects of causeway culvert closure and subsequent bridge and breach opening. These were developed to provide background information, context, and discussion points for the first GSL Salinity Advisory Committee Meeting. All data presented in this document are publicly available via USGS, UGS, or DWQ websites. Notes: … Read more →

58

Exam PA Study Manual

by Sam Castillo

2019-11-12

Exam PA Study Manual […] While this book is viewable online, a PDF download, practice exams, and answers to exercises are available by subscribing to the Artificial Actuary Sam Castillo is a predictive modeler at Milliman in Chicago, has been using R for four years, and is the owner of artificialactuary.com, a blog focused on the future of risk. A special thanks to Erlan Wheeler and David Hill for contributing ideas for this manual. This book is constantly being improved by the community. Your suggested improvements can be added to this book easily. See the 20:00 mark of … Read more →

59

Population Health Data Science with R

by Tomás J. Aragón, Wayne T. Enanoria

2019-11-12

Population health data science (PHDS). […] We are writing this book to introduce R—a programming language and environment for statistical computing and graphics—to public health epidemiologists, health care data analysts, data scientists, statisticans, and others conducting population health analyses. Recent graduates come prepared with a solid foundation in epidemiological and statistical concepts and skills. However, what is sometimes lacking is the ability to implement new methods and approaches they did not learn in school. This is more apparent today with the emergence of data science … Read more →

60

Untitled

by Slezák Martin

2019-11-09

Untitled […] Ezzel az R kóddal lehet kirenderelni a könyvet RStudióból bookdown::publish_book(render = … Read more →

61

Introducción a R y SIG

by Paúl Bravo L. & Francisco Salgado C.

2019-11-09

Introducción a R y SIG […] En esta guía tutorial, presentamos los conceptos y herramientas clave de R y su relación con los Sistemas de Información Geográfica. Articulo “Teach yourself programming in ten years” (Peter Norvig): http://norvig.com/21-days.html A Sufficient Introduction to R: https://dereksonderegger.github.io/570L/A_Sufficient_Introduction_to_R.pdf Introducción a R basada en las lecciones del paquete Swirl. Sean Kross, Nick Carchedi, Bill Bauer, Gina Grdina, Filip Schouwenaars, Wush Wu. R para principiantes: https://cran.r-project.org/doc/contrib/rdebuts_es.pdf RPubs (Daniela … Read more →

62

Nighttime Lights and Malaria in the Peruvian Amazon

by Gabriel Carrasco-Escobar

2019-11-09

Code library of data exploration and analysis […] Nighttime Lights (NL) datasets were used into urban planning, econometric downscaling, disaster response, development, and socio-environmental studies since the very beginning of their public release (Pastor-Escuredo, Savy, & Luengo-Oroz, 2015). (Henderson, Storeygard, & Weil, 2012). (Otchia & Asongu, 2019) In the malaria literature, most of studies used data extracted from NL datasets as a covariate to understand malaria epidemiology patterns (Lechthaler et al., 2019), most commonly used as part of an urbanicity/landscape indexes (Keiser et … Read more →

63

Climate-related Risk to European Fish and Fisheries

by Mark R. Payne, John Pinnegar, Manja Kudahl, Georg Engelhardt

2019-11-08

This is a working draft of the CERES (https://ceresproject.eu/) vulnerability analysis (Task 5.3) looking the climate risk of fish and fisheries in Europe. […] This document is a working draft of the CERES (https://ceresproject.eu/) vulnerability analysis (Task 5.3) looking the climate-related risk to fish and fisheries in Europe. The source code for both this manuscript and the associated analysis are stored under version control on GitHub at https://github.com/markpayneatwork/CERES_vulnerability … Read more →

64

进阶 R 图形

by Maxine

2019-11-08

进阶 R 图形 […] 收集一些较为进阶的 R … Read more →

65

Text Mining with R Notes

by Maxine

2019-11-06

Text Mining with R Notes […] This book grew out of my learning experience and notes concerning Text Mining with R: A Tidy Approach by Julia Silge and David … Read more →

66

Tidy Tuesday

by Maxine

2019-11-06

Tidy Tuesday […] This document contains my codes and visualization practice of the tidy tuesday project, some of which are borrowed from David Robinson’s … Read more →

67

ggplot2 基础

by Maxine

2019-11-06

ggplot2 基础 […] 一些用 R(主要是 ggplot2 ) … Read more →

68

Introduction to R Markdown

by Michael Clark

2019-11-06
Introduction to R Markdown

This document will introduce participants to the basics of R Markdown. After an introduction to concepts related to reproducible programming and research, demonstrations of standard markdown, as well as overviews of different formats, will be provided, including exercises. […] … Read more →

69

现代科研指北

by 于淼

2019-11-04

才疏学浅,不知何为真,仅通少错之法,故不敢言南,仅指北。或曰:现代科研挖坑/跳坑指南 … Read more →

70

Twitter for R programmers

by Oscar Baruffa

2019-11-03

Twitter for R programmers […] THIS BOOK IS UNDER CONSTRUCTION and I’m figuring a lot about version control while doing it You can subscribe to my newsletter to be notified of major updates to the book. The R community is very active on twitter. You can learn a lot about the language, about new approaches to problems, make friends and even land a job or next contract. It’s a real-time pulse of the R community. Artwork by @allison_horst Start by downloading the Twitter app or visiting the desktop site. Create an account and you’re good to go. When your first start, you’ll be prompted to … Read more →

71

Introduction to Data Science

by Rafael A. Irizarry

2019-11-03

This book introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression and machine learning and helps you develop skills such as R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with UNIX/Linux shell, version control with GitHub, and reproducible document preparation with R markdown. Read more →

72

Notes on Modern Statistics for the Social and Behavioral Sciences (MSSBS)

by Peter Baumgartner

2019-11-01

This book accompanies “Rand, W. (2017). Modern Statistics for the Social and Behavioral Sciences: A Practical Introduction, Second Edition (New edition). Boca Raton, FL: Taylor & Francis Inc.”. I intend to learn and explore the concepts and procedures taught in this introductory book. Please keep in mind that this book is just a kind of training exercise for me. There will be no new insights presented, and as I am still learning the basics of R and statistics, you may find misunderstandings and errors in my writings. For authoritative reference, you have the consult the original book. Read more →

73

rdwd

by Berry Boessenkool, berry-b@gmx.de

2019-11-01

rdwd is an R package to handle data from the German Weather Service (DWD). This vignette has 3 main sections: Important links: The remainder of this intro chapter is a copy of the github README file. rdwd is an R package to select, download and read climate data from the German Weather Service (Deutscher Wetterdienst, DWD). The DWD provides thousands of datasets with weather observations online at opendata.dwd.de. Since May 2019, rdwd also supports reading the Radolan (binary) raster data at grids_germany. rdwd is available on CRAN: It has been presented at FOSDEM 2017 and UseR!2017 in … Read more →

74

Great Salt Lake Nutrient Analyses - figures only

by Jake Vander Laan, Utah Division of Water Quality

2019-10-30

Great Salt Lake Nutrient Analyses - figures only […] This is a figures only version of a set of GSL water quality and nutrient analyses. All data are drawn from USGS NWIS or EPA WQP. For details and code see: bookdown.org/jakevl/gsl-nutrients This project remains in active development and does not represent any official agency position. The first section, ‘Basic analyses & figures’, provides a set of contextual figures meant to characterize spatial and temporal variability of important water quality, lake elevation, and tributary discharge parameters. The second section, ‘Nutrient pools & … Read more →

75

Make money with machine learning

by Siraj Raval, revisited by Kim NOËL

2019-10-29

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] This book is the personnal transcription of the course provided by Siraj Raval. A drama related to content copyright stained for Raval during this course, and many students including me were disturbed. This event swelled a lot and the motivation to progress in this course was affected. So I decided to propose a version with more explanations and details. I will provide a list of tutorials to follow in order to complete this course. This is a book written in … Read more →

76

Statistical Inference via Data Science

by Chester Ismay, Albert Y. Kim, and Chris Teplovs

2019-10-29
Statistical Inference via Data Science

An open-source and fully-reproducible electronic textbook for teaching statistical inference using tidyverse data science tools. […] Please note that this book has been modified by Dr. Chris Teplovs for use in SI 544. This is version 0.6.0.9000 of ModernDive published on August 15, 2019. For previous versions of ModernDive, see Section 1.4. While a PDF version of this book can be found here, this is very much a work in progress with many things that still need to be fixed. We appreciate your patience. This book assumes no prerequisites: no algebra, no calculus, and no prior … Read more →

77

An Introduction to Probability and Simulation

by Kevin Ross

2019-10-28

This textbook presents a simulation-based approach to probability, using the Symbulate package. […] Why study probability? Why use simulation to study probability? This book uses the Python package Symbulate (https://github.com/dlsun/symbulate) which provides a user friendly framework for conducting simulations involving probability models. The syntax of Symbulate reflects the “language of probability” and makes it intuitive to specify, run, analyze, and visualize the results of a simulation. In Symbulate, probability spaces, events, random variables, and random processes are symbolic … Read more →

78

Bayesian Hierarchical Models in Ecology

by Steve Midway

2019-10-28

This is a book that is build on lectures from a course of the same name. […] Welcome to Bayesian Hierarchical Models in Ecology. This is an ebook that is also serving as the course materials for a graduate class of the same name. There will be numerous and on-going changes to this book, so please check back. And don’t hesistate to email me if you have questions, comments, or for anything else. To start, let’s calrify the title of this text—it should be Hierarchical Models in Ecology Using Bayesian Inference. A Bayesian Hierarchical Model is more a term of convenience than accuracy, as … Read more →

79

Data Science für Klein- und Mittelbetriebe

by Jürgen Gruber

2019-10-27

Big Data, Data Science und Analytics sind die Buzz-Wörter der heutigen Zeit. Doch was verbirgt sich dahinter? Ist es nur für Großunternehmen möglich, die neuen Technologien einzusetzen? Mit dem vorliegenden Buch wird versucht eine Einführrung in das Thema zu geben. Dies vor allem aus Sicht der Praxis. Speziell aus dem Blickwinkel der Betriebswirtschaft werden Use-Cases versucht einfach und nachvollziehbar darzustellen. Viel Spass auf der Entdeckungsreise. Read more →

80

Data Science with R: A Resource Compendium

by Martin Monkman

2019-10-25

A modest and very incomplete listing of resources for tackling data science problems in R. […] Draft This book grew out of my evergrowing collection of reference materials that was saved as an expanding array of markdown files in a github repo. By assembling it as a book, I hope that it will be more accessible and useful to other R users. The author would like to acknowledge everyone who has contributed to the books, articles, blog posts, and R packages cited within. License This work by Martin Monkman is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Canada … Read more →

81

Programación - Desarrollo de Aplicaciones Web

by Sergio Berdiales

2019-10-23

Programación - Desarrollo de Aplicaciones Web […] Este documento incluye mis notas personales y ejercicios prácticos de la asignatura “Programación” del primer curso del Módulo de FPII de Desarrollo de Aplicaciones Web. Este módulo lo estoy cursando en el Centro Integrado de Formación Profesional de la Universidad Laboral de Gijón (curso 2019-2010). Además de hacer los ejercicios en los lenguajes requeridos durante el curso procuraré replicarlos también en los lenguajes que habitualmente utilizo en mi actividad profesional, R y Python. Los contenidos originales sobre los que realizo mis … Read more →

82

Lecture Notes for Project Management

by B. Depaire

2019-10-22

These are the lecture notes for the course Project Management […] This document contains the lecture notes for the course Project Management (3897) taught at Hasselt University. Each chapter of this document serves to support the lecture presentations and contains a summary in bullet-point style. We advise students to go throught these lecture notes immediately after the lecture and to add your own notes to this … Read more →

83

ECON 41 Labs

by Gabriel Butler UCLA Global Classroom

2019-10-22

ECON 41 Labs […] This book is an R-based statistical programming companion for ECON 41 - Statistics For Economists, an undergraduate course for Economics majors offered at the University of California, Los Angeles. More specifically, it has been created to augment the version of this course that is offered at Jinling High School in Nanjing, Jiangsu, China as part of the Global Classroom program that is part of the UCLA International Institute. More basic information about our program and about me is available at the links below. Go Bruins! 金陵中学中美班,加油! https://www.international.ucla … Read more →

84

R语言在教育学中的应用

by R语言学习小组

2019-10-21

教育学读书笔记 […] 你好,这里是四川师范大学教育学R语言讨论小组,欢迎围观。 我用了两个 R 包编译这本书,分别是 knitr (Xie 2015) 和 bookdown (Xie 2019)。以下是我的 R 进程信息: 感谢遇到你,在最美的年华! Xie, Yihui. 2015. Dynamic Documents with R and Knitr. 2nd ed. Boca Raton, Florida: Chapman; Hall/CRC. http://yihui.name/knitr/. Xie, Yihui. 2019. Bookdown: Authoring Books and Technical Documents with R Markdown. https://CRAN.R-project.org/package=bookdown. … Read more →

85

Field Guide to the R Ecosystem

by Mark Sellors

2019-10-21

This guide aims to introduce the reader to the main elements of the R ecosystem. […] This work is licensed under a Creative Commons Attribution 4.0 International … Read more →

86

資料科學與R語言

by 曾意儒 Yi-Ju Tseng

2019-10-20

介紹如何使用R語言完成資料讀取、處理、分析與呈現,以及大數據技術與R的整合 […] 本書介紹如何使用R語言完成資料讀取 (檔案、透過API擷取或爬蟲)、資料清洗與處理、探索式資料分析、資料視覺化、互動式資料呈現 (搭配Shiny) 與資料探勘等,並介紹R與Hadoop Ecosystems介接方法。 資料探勘章節尚未完成,epub版本格式微調中。 如要一次安裝所有本書會使用到的套件,可在R內執行以下程式碼: 本書為長庚大學資訊管理學系 大數據分析方法課程教學使用書籍,並可搭配YouTube平台上的教學影片參考使用,影片閱讀清單詳見本書最末章節Ch 13 教學影片資訊。 如果您想修改文字或範例,歡迎透過此連結或是透過GitHub issue提供建議與回饋。 … Read more →

87

Contributing to GNU R

by Lionel Henry

2019-10-19

How to contribute to GNU R. […] Contributing to a large open source project like GNU R can be intimidating. This document aims to reduce the technical barriers to contributing and will help you get started on building R, modifying it, and checking that you haven’t broken anything. At the moment, Contributing is written from the perspective of macOS users, but should be helpful to users of all platforms. R Internals, the language specification. R Installation and Administration, the official guide on how to install R. R’s internal C API, an unofficial documentation for the internal … Read more →

88

数据科学工作流

by 黄湘云

2019-10-19

在 tidyverse 的生态下,整理一些数据分析和建模的 10 个案例,一个案例一个章节,数据需要比较有代表性,一定要侧重统计思维在数据分析和建模过程中引导作用,要谈数据收集、存储、探索性分析、建模和解释的过程。比如爬取数据存储到数据库,EDA 和建模及分析报告呈现。更加注重可解释性,更加注重统计学习和机器学习之间联系,特别是传统数理统计与数据挖掘技术的关系 […] … Read more →

89

Hands-On Machine Learning with R

by Bradley Boehmke & Brandon Greenwell

2019-10-19

A Machine Learning Algorithmic Deep Dive Using R. […] This book is sold by Taylor & Francis Group, who owns the copyright. The physical copies are forthcoming and will be sold by Amazon and Taylor & Francis. Welcome to Hands-On Machine Learning with R. This book provides hands-on modules for many of the most common machine learning methods to include: You will learn how to build and tune these various models with R packages that have been tested and approved due to their ability to scale well. However, our motivation in almost every case is to describe the techniques in a way that helps … Read more →

90

Data Science at the Command Line

by Jeroen Janssens

2019-10-15
Data Science at the Command Line

This is the website for Data Science at the Command Line, published by O’Reilly October 2014 First Edition. This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data. To get you started—whether you’re on Windows, macOS, or Linux—author Jeroen Janssens has developed a Docker image packed with over 80 command-line tools. Discover why the command line is an agile, scalable, and extensible … Read more →

91

Kursmaterial till Certifierad Data Scientist

by Ferrologic

2019-10-14

Det här dokumentet innehåller kursmaterial och övningar för det första blockets R-övningar. […] För att ta del av det här materialet behöver du inte några särskilda förkunskaper. Övningarna och upplägget följer boken R for Data Science av Hadley Wickham och Garrett Grolemund som finns gratis. Den boken är ett utmärkt fördjupande komplement till det här … Read more →

92

MANUAL PARA LA APLICACIÓN DE INDICADORES DE PRODUCCIÓN CIENTÍFICA EN EL ECUADOR ASOCIADO A SCOPUS

by Aplicación por: Jeysson Chuquin, Wagner Salazar

2019-10-11

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] El objetivo de este manual es conocer los índices de producción científica en el Ecuador asociado a Scopus, siendo la Producción Científica en Ecuador una de las actividades más representativas en el criterio de la evaluación institucional con un 9% de peso. La producción Científica es un factor importante para determinar la calidad de una IES (Institución de Educación Superior) y para determinar el crecimiento de un país. El presente manual presenta como es … Read more →

93

Text as Data para Ciências Sociais

by Davi Moreira

2019-10-08

Compilação de métodos e técnicas para análise automatizada de conteúdo […] A partir da produção de material para o curso Text as Data: análise automatizada de conteúdo que ministrei no MQ-UFMG em 2019 e no artigo que publiquei em coautoria com Maurício Izumi (Izumi and Moreira 2018), esse livro tem como propósito difundir nas ciências sociais e humanidades técnicas e métodos de análise automatizada de conteúdo usando a linguagem R. O principal objetivo do livro é ser tutorial prático de uso e aplicação de técnicas e métodos de análise automatizada de conteúdo na língua portuguesa através da … Read more →

94

QA of Code

by Joshua Halls

2019-10-08

This is a draft of QA for Coding guidance […] ALPHA This is a draft of Government Statistical Service guidance. It is unpublished and does not represent the views of the ONS or the GSS. … Read more →

95

Utah IR R tools user guide

by UDWQ Integrated report team

2019-10-04

A guide to installing R and the necessary R packages developed for Utah’s Integrated Report process. […] bookdown.org/jakevl/IR-R-tools-guide This guide walks secondary reviewers through installing R and its associated packages on their computer. A snapshot of the commands required to run the R packages is available on the “Install or Access R Tools” card on the Current Report Development Trello Board. Please refer to the FAQs section for answers to common questions, but note that this section will grow as we move through the process as group. If you still have questions about running R or … Read more →

96

Modélisation de la transmission du paludisme à échelle micro-géographique

by Paul Taconet

2019-10-02

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] This is a sample book written in Markdown. You can use anything that Pandoc’s Markdown supports, e.g., a math equation (a^2 + b^2 = c^2). The bookdown package can be installed from CRAN or Github: Remember each Rmd file contains one and only one chapter, and a chapter is defined by the first-level heading #. To compile this example to PDF, you need XeLaTeX. You are recommended to install TinyTeX (which includes XeLaTeX): https://yihui.name/tinytex/. … Read more →

97

Visualisation with Python

by Jumping Rivers

2019-10-02

Blah […] Jumping Rivers is an analytics company whose passion is data and machine learning. We help our clients move from data storage to data insights. Jumping Rivers has delivered quality data insights from day 1. Based in Newcastle and founded in 2016, the company is bringing a fresh approach to the world of data analytics. Jumping Rivers offer a number of training options in R and Python ranging from introductory programming to applied machine learning, automated reporting and app development. We also offer the facility to create bespoke training programs for our clients to make sure … Read more →

98

jamoviguiden

by Jonas Rafi

2019-10-02

Lär dig göra independent samples t-test, paired samples t-test, one sample t-test, ANOVA, repeated measures ANOVA, factorial ANOVA, mixed ANOVA, linear regression, och logistic regression i jamovi. jamoviguiden innehåller även avsnitt om csv-filer och skalnivåer. […] Jamoviguiden innehåller korta, lättillgängliga guider (med bilder!) över vanliga procedurer i jamovi. För att hålla innehållet kort så beskrivs inget (eller lite) om antaganden bakom statistiska tester eller hur resultaten ska tolkas. När du väl kommit igång är det ofta enkelt att utforska vidare på egen hand. Vill du lära dig … Read more →

99

Crime by the Numbers

by Jacob Kaplan

2019-10-01

This book introduces the programming language R and is meant for undergrads or graduate students studying criminology. R is a programming language that is well-suited to the type of work frequently done in criminology - taking messy data and turning it into useful information. While R is a useful tool for many fields of study, this book focuses on the skills criminologists should know and uses crime data for the example data sets. Read more →

100

Interactive web-based data visualization with R, plotly, and shiny

by Carson Sievert

2019-10-01

A useR guide to creating highly interactive graphics for exploratory and expository visualization. […] This is the website for “Interactive web-based data visualization with R, plotly, and shiny”. In this book, you’ll gain insight and practical skills for creating interactive and dynamic web graphics for data analysis from R. It makes heavy use of plotly for rendering graphics, but you’ll also learn about other R packages that augment a data science workflow, such as the tidyverse and shiny. Along the way, you’ll gain insight into best practices for visualization of high-dimensional data, … Read more →

101

R for Data Science: Exercise Solutions

by Jeffrey B. Arnold

2019-10-01

Solutions to the exercises in “R for Data Science” by Garrett Grolemund and Hadley Wickham. […] If you find any typos, errors, or places where the text may be improved, please let me know. The best ways to provide feedback are by GitHub or hypothes.is annotations. Opening an issue or submitting a pull request on GitHub Adding an annotation using hypothes.is. To add an annotation, select some text and then click the on the pop-up menu. To see the annotations of others, click the in the upper right-hand corner of the page. This book contains the exercise solutions for the book R for Data … Read more →

102

Grange-Lab Manual

by Jim Grange

2019-09-29

The Grange-Lab Manual provides information on all you want (or need) to know about working in the Grange Lab. […] … Read more →

103

Mál- og tegurfræði

by Brynjólfur Gauti Jónsson

2019-09-26

Glósur mínar úr áfanganum kenndum í Háskóla Íslands […] Vika 1: Mengjafræði, aukna rauntalnalínan, raðir. Vika 2: Jordan-mælanleg mengi, tröppuföll, Riemann-heildi. Vika 3: Legesbue: Utanmálið, mælanleg mengi og málið. Vika 4: Málrúm Vika 5: Vika 6: Vika 7: Heildanleg föll Vika 8: Vika … Read more →

104

R for Statistics in EPH

by Daniel J Carter

2019-09-25

R for Statistics in EPH […] Welcome to R for STEPH. This ‘book’ offers the chance to supplement your learning in Stata by conducting the computer practical sessions in R. By the end of this book, you will have enough proficiency in R to carry out a number of basic analyses and understand principles that will allow you to program more complex analyses. Any questions about the content in this book can be directed to Daniel Carter via email or via Twitter if you’re into that sort of thing. There is also the invaluable resource that is Stack Exchange. Chances are high that if you’re running … Read more →

105

R for MSc DH/RSHR/Epi

by Daniel J Carter

2019-09-24

R for MSc DH/RSHR/Epi […] Welcome to the two day Introduction to R for MSc Epi and MSc RSHR. Before you attend the course, you will need to ensure you have your own R setup on your computer. The getting started page will instruct you how to do that. Please do this as early as possible before the course to ensure that you can get help if you encounter any issues. How to interact with this course: Course materials come in three flavours. First, there is the Bookdown file you are reading right now in your web browser - this contains all the code, output, exercise solutions (after the course is … Read more →

106

Political Compass in the Random World

by Tejendra Pratap Singh

2019-09-24

On the robustness of the Political Compass […] This is to test how the Political Compass Test performs if it is supplied with randomly selected choices. Theoretically, it should gives us zero on the coordinate axis. I will insert the image of the result from the above values inserted in the Political Compass Test. Let’s see what happens. Results can be found at https://www.politicalcompass.org/yourpoliticalcompass?ec=-1.63&soc=-0.87. Although the resulting coordinates are very close to the origin, it looks like the test is made to elicit responses in the third quadrant. I also attach the … Read more →

107

A Minimal rTorch Tutorial

by Alfonso R. Reyes

2019-09-24

This is a minimal tutorial of using the rTorch package to have fun while doing machine learning. This book was produced with bookdown. […] You need two things to get rTorch working: Install Python Anaconda. Preferrably, for 64-bits, and above Python 3.6+. Install R, Rtools and RStudio. Install rTorch from CRAN or GitHub. Note. It is not mandatory to have a previously created Python environment with Anaconda, where PyTorch and TorchVision have already been installed. This step is optional. You could also get it installed directly from the R console, in very similar fashion as in R-TensorFlow … Read more →

108

Computational Genomics with R

by Altuna Akalin

2019-09-24

A guide to computationa genomics using R. The book covers fundemental topics with practical examples for an interdisciplinery audience […] The aim of this book is to provide the fundamentals for data analysis for genomics. We developed this book based on the computational genomics courses we are giving every year. We have had invariably an interdisicplinary audience with backgrounds from physics, biology, medicine, math, computer science or other quantitative fields. We want this book to be a starting point for computational genomics students and a guide for further data analysis in more … Read more →

109

The jamovi quickstart guide

by Jonas Rafi

2019-09-24

The jamovi quickstart guide features a collection of non-technical tutorials on how to conduct common operations in jamovi. This includes how to conduct independent samples t-test, paired samples t-test, one sample t-test, ANOVA, repeated measures ANOVA, factorial ANOVA, mixed ANOVA, linear regression, and logistic regression. Additionally, the tutorials cover the use of csv files, wide data format, and setting the data type in jamovi. Read more →

110

R Companion to Real Econometrics

by Tony Carilli

2019-09-23

This book looks at the R code necessary to complete the end of chapter exercises in Bailey’s Real Econometrics […] The intended audience for this book is anyone make using of Real Econometrics: The Right Tools to Answer Important Questions 2nd ed. by Michael Bailey who would like to learn the R code necessary to complete the end of chapter exercises. We really heavily on the tidyverse a collection of packages that shares an underlying design philosophy, grammar, and data structures. We also make use of a variety of packages (bundles of code) where it will make coding more straightfoward in … Read more →

111

Rad: R for academics

by Marius Mather

2019-09-23
Rad: R for academics

An accessible introduction to R that doesn’t assume programming experience […] This is an experiment in running some short, informal training sessions to get people started with a programming approach to data management and analysis. We’ll be using R, but a lot of the concepts in R will transfer to other software. There may also be some room to include some info about basic web design or other related topics - some of this can be done through R, and more info can be provided if needed. Training will be pitched at the beginner level - you don’t need to know the difference between a CSS and a … Read more →

112

Lab Manual for the Respiratory and Immunology Project and Laboratory Research Team (RIPLRT)

by Authors: The RIPLRT

2019-09-22

This book constitute the lab manual for the RIPL_Effect Research Team (RIPLRT). The output format for this example is bookdown::gitbook. […] Welcome to the Respiratory and Immunology Project and Laboratory (RIPLRT) at Larkin University College of Biomedical Sciences. If you are reading our lab manual because you recently joined the RIPLRT, welcome! If you are a current member of the RIPLRT, frequently refer to our lab manual to refresh our guidelines, policies, platforms, among others. We also look forward to immerse you in different learning experiences, such as in immunology, respiratory, … Read more →

113

Métodos Cuantitativos

by Aleksander Dietrichson, PhD

2019-09-22

Material de Cátedra para el curso «Metodologías cuantitativas». […] Este texto ha sido editado en respuesta a la aparente falta de un libro de texto introductorio al análisis cuantitativo y estadísticas acesible y moderno en castellano. Si bien fue concebido como material de cátedra para Metodologías cuantitativas materia que dicta el autor en la Escuela de Humanidades de la Universidad Nacional San Martín, se adaptará fácilmente a cursos introductorios de estadísticas en … Read more →

114

Lab Guide to Quantitative Research Methods in Political Science, Public Policy & Public Administration

by Joseph Ripberger, Cody Adams, Alex Davis, and Josie Davis

2019-09-19

A lab guide to quantitative research methods in R. … Read more →

115

Open Forensic Science in R

by Editor: Sam Tyner, Ph.D.

2019-09-19

This book is for anyone looking to do forensic science analysis in a data-driven and open way. Whether you are a student, teacher, or scientist, this book is for you. We take the latest research, primarily from the Center for Statistics and Applications in Forensic Evidence (CSAFE) and the National Institute of Standards and Technology (NIST) and show you how to solve forensic science problems in R. The book makes some assumptions about you: This book free and is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States License. R Core Team. 2019. R: A Language … Read more →

116

R Programming for Data Science

by Roger D. Peng

2019-09-18
R Programming for Data Science

The R programming language has become the de facto programming language for data science. Its flexibility, power, sophistication, and expressiveness have made it an invaluable tool for data scientists around the world. This book is about the fundamentals of R programming. You will get started with the basics of the language, learn how to manipulate datasets, how to write functions, and how to debug and optimize code. With the fundamentals provided in this book, you will have a solid foundation on which to build your data science toolbox. Read more →

117

Introduction to R

by Filip Wästberg

2019-09-17

This book contains workshop material for 4 workshop held at tele2 during the autumn of 2019 […] During the workshops you will use R on both a cloud platform and on your own computer. If you have a previous R version installed on your computer we recommend that you update both R and RStudio. This book is written in R with the package bookdown built by Yihui Xie. You can find out more about bookdown … Read more →

118

Men’s U-Sports Basketball Analysis

by Michael Armanious

2019-09-13

Sports Analytics […] Statistics in sports is a growing field in research that provides specialized methodology for collecting and analyzing sports data in order to make decisions for successful planning and implementation of new strategies [1]. Sports, particularly, have countless and ever-expanding data sources that can be used by analysts in order to extract objective information for use in aspects such as making predictions throughout seasons and enhancements in team and player performance. Broadly, Sports Analysis is described as the process of data management, predictive model … Read more →

119

tmdlTools Guide

by Elise Hinman

2019-09-12

A step by step guide to using the R package, tmdlTools […] This guide walks watershed coordinators through installing R and its associated packages on their computer. If you still have questions about running R or the tmdlTools app, Elise Hinman is available and happy to assist you. … Read more →

120

2 Datenherkunft | Making maps with R

by Nico Hahn

2019-09-12

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] Ein Großteil der Daten, die in dieser Arbeit verwendet wurden, stammen aus OpenStreetMap. Je nach Größe wurden diese entweder mit der beigefügten OSM-App erstellt, oder von https://www.geofabrik.de/ heruntergeladen. Bei Zweiterem wurden die Datensätze mit den command line Tools osmconvert und osmfilter in ein sinnvolles Format konvertiert und gefiltert. Danach war nocheinmal eine weitere Transformation in das GEOJSON Format nötig, wofür das NodeJS Package … Read more →

121

Applications of Machine Learning in Imputation

by Vinayak Anand-Kumar

2019-09-11

This document presents the findings from the 2018⁄19 project into the use of machine learning in imputation. […] I would like to acknowledge the following people in helping produce this report: - Emily Tew and Gareth Clews for their guidance and support, in getting XGBoost up and running. - Fern Leather, for getting CANCEIS to work. Really grateful for taking the time to run through the specification files with me. - Luke Lorenzi and Vahe Nafilyan, for helping me put the pieces together, and helping me figure out how we can progress this work in the context of survey data. Editing and … Read more →

122

Technical Foundations of Informatics

by Michael Freeman and Joel Ross

2019-09-11
Technical Foundations of Informatics

The course reader for INFO 201: Technical Foundations of Informatics. […] Announcement: Starting in 2019, readings for the INFO 201 course will come from the textbook Programming Skills for Data Science, which is available to UW students for free via SafariBooksOnline or in print. Unless specifically directed to a section of this online text, you should refer to the Programming Skills for Data Science textbook. This book covers the foundation skills necessary to start writing computer programs to work with data using modern and reproducible techniques. It requires no technical background. … Read more →

123

LDC Walk Through

by E. Hinman

2019-09-09

A step by step guide to calculating loading and building load duration curves […] The loading calculation function is called tmdlCalcs(). It requires a workbook with specific tabs and headers, as well as a command outlining whether the output should be exported from the function. We’ll define the parameters (and load the packages) in this bookdown so you can see the steps in real time. The first step is to define the output object (a list of dataframes), and some of the equations needed. The next step is to read in the workbook and define the parameters contained in the input tab. Then, we … Read more →

124

Data Analytics

by Hans van der Zwan

2019-09-09

Course notes Data Analytics course at The Hague University of Applied Sciences; lecturer J.H. van der Zwan […] Ismay C. & Kim A. Y. (2019). ModernDive. Statistical Inference for Data Science. https://moderndive.com. Rumsey D. J. (2010). Statistical Essentials for Dummies. Hoboken: Wiley … Read more →

125

Reproducible Miracle

by Gökmen Altay

2019-09-08

This book demonstrates 19 based encodings available in authentic Quran text using Text Analytics and Probability approaches. […] This book presents 19 based codings that I tested and witnessed in a book fully written 1387 years ago (632) than the publication date (2019) of this book. Most of the codings could only be practically realized by the invention of computers. You will not only witness some of the amazing examples of the 19 based codings but also have the ability to easily test them yourself by running the codes I will provide along with each coding example. It means all the … Read more →

126

e-Business

by Robert Batzinger

2019-09-04

This is a minimal example of the book I am trying to write. The output format for this example is bookdown::gitbook. […] This book attempts to introduce undergraduate students to the nature and requirements for conducting business online. It starts with a discussion of the nature of business and the challenges and potential of the online environment, followed by a review of common methods of modelling business, and a study of open source business solutions. The final chapter focuses on emerging trends and sea-changes in e-Business. This book is currently a work in progress that is also … Read more →

127

MSU I-O Student Mentorship Program User Manual

by Eagle I-O

2019-09-04
MSU I-O Student Mentorship Program User Manual

This is a Users Manual for the Montclair State University I-O Psychology student mentorship program. The intended users are: 1) mentors, 2) protege’s, 3) Eagle I-O consultants, and 4) MSU I-O program faculty members. […] This manual was written in Bookdown using the GitBook … Read more →

128

An Introduction to Game Theory

by Yuleng Zeng

2019-09-04

This is an introduction to Game Theory. The project started when I sat in on Tobias Heinrich’s class (POLI 725: International Conflict) in Fall 2019. I was given the opportunity to provide an introduction to basic game theory concepts and methods. Thank again to Toby for the trust and the opportunity. My intention is to build upon the short introduction and potentially expand it into course, with a heavy focus on models used in International Relations. If you have suggestions or find any errors, please do shoot me an … Read more →

129

Estadística Básica Edulcorada

by Alejandro Quintela del Rio

2019-09-04
Estadística Básica Edulcorada

Estadística y probabilidad básica, con aplicaciones y elementos históricos. […] Advertencia: Libro en fase de elaboración. No se recomienda copiar trozos, puesto que después podría haber lloros si hay acusaciones de plagio. La estadística para gente inteligente. Este libro está bajo licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Los paquetes o librerías que se utilizan en este libro son las que siguen. Para ejecutar trozos de código particulares no habría que instalar todas, pero, si en algún momento la ejecución de algún ejemplo da error, podría … Read more →

130

Ciencia de datos para curiosos

by Martin Montane

2019-09-03
Ciencia de datos para curiosos

Una introducción practica a la Ciencia de Datos […] La ciencia de datos ha estado presente casi en cualquier contexto que se pueda pensar: en los medios masivos, en nuestra experiencia diaria cuando usamos Netflix o nos tomamos el subte y en la charla con colegas o incluso familiares y amigos. Este libro tiene como objetivo principal dar una idea sobre qué es la ciencia de datos, para qué sirve y cómo podemos usarla. Para esto, se necesita solo una cosa: curiosidad. Con estas ganas de conocer lo que hoy no conocemos, pero que nos llama la atención, el resto de las herramientas pueden ir … Read more →

131

The Open Quant Live Book

by OpenQuants.com

2019-09-03
The Open Quant Live Book

The Open Quant Live Book […] The book aims to be an Open Source introductory reference of the most important aspects of financial data analysis, algo trading, portfolio selection, econophysics and machine learning in finance with an emphasis in reproducibility and openness not to be found in most other typical Wall Street-like references. The Book is Open and we welcome co-authors. Feel free to reach out or simply create a pull request with your contribution! See project structure, guidelines and how to contribute here. First published at: openquants.com. Licensed under Attribution-NonCommer … Read more →

132

Exploratory Analysis Project

by Matheus Amaral Mões, Marcelo Semerene Farah, Luísa Belus Henriques and Daniela de Góes N. Georg

2019-08-31

This project is part of a lesson from FGV’s MBA on Business Analytics and Big … Read more →

133

国内任天堂 Switch 使用情况与玩家需求调查报告

by OldNin

2019-08-30
国内任天堂 Switch 使用情况与玩家需求调查报告

国内任天堂 Switch 玩家的小调查。 […] Nintendo Switch™1是日本任天堂公司出品的电子游戏机,于2017年3月3日发售。2019年4月26日,腾讯宣布将与任天堂合作,在中国代理发售任天堂 Switch 主机。28月2日,腾讯携手任天堂的 Nintendo Switch 首度亮相第十七届中国国际数码互动娱乐展览会(ChinaJoy 2019),并于上午在上海浦东香格里拉大酒店举办了主题为“奇乐同享,‘任’式好游戏”的媒体见面会。3 2019年8月12日,我通过个人微博、百度贴吧(NS吧和Switch吧,帖子不幸被隐藏)、QQ群、微信群、抽屉新热榜(帖子有幸被小编推上热榜)和IT之家(获得几个用户回复)这几个平台发放了问卷填写链接。8月13日,问卷填写链接被知任CHS、NS新闻速报和黑桐谷歌等媒体和大博主转发后,问卷回 … Read more →

134

Introduction to Econometrics with R

by Christoph Hanck, Martin Arnold, Alexander Gerber and Martin Schmelzer

2019-08-30
Introduction to Econometrics with R

Beginners with little background in statistics and econometrics often have a hard time understanding the benefits of having programming skills for learning and applying Econometrics. ‘Introduction to Econometrics with R’ is an interactive companion to the well-received textbook ‘Introduction to Econometrics’ by James H. Stock and Mark W. Watson (2015). It gives a gentle introduction to the essentials of R programming and guides students in implementing the empirical applications presented throughout the textbook using the newly aquired skills. This is supported by interactive programming exercises generated with DataCamp Light and integration of interactive visualizations of central concepts which are based on the flexible JavaScript library D3.js. Read more →

135

Polar-ICE Sci-I Project Development & Implementation Guide

by Kristin Hunter-Thomson and Jacoby Baker

2019-08-28

Lessons learned from running the Polar-ICE Sci-I Project for others to take and run with in their locations! […] Welcome to our Science Investigations (Sci-I) Project Development & Implementation Guide. This document provides an overview of how we developed and implemented the Sci-I Project from 2015-18 through the Polar-ICE grant funded by the National Science Foundation Polar Division (Grant #PLR-1525635). Because our funding source was related to the polar regions, we had a polar emphasis of content throughout our implementation of the project. However, the Sci-I Project can be run with … Read more →

136

Statistical Inference via Data Science

by Chester Ismay and Albert Y. Kim

2019-08-28
Statistical Inference via Data Science

An open-source and fully-reproducible electronic textbook for teaching statistical inference using tidyverse data science tools. […] We’re excited to announce that we’ve signed a book deal with CRC Press! We will be publishing our first fully complete online version of ModernDive in Summer 2019, with a corresponding print edition to follow in Fall 2019. Don’t worry though, our content will remain freely available on ModernDive.com. Help! I’m new to R and RStudio and I need to learn about them! However, I’m completely new to coding! What do I do? If you’re asking yourself this question, then … Read more →

137

3 Dashboard for students | LASI 2019 - Visualization meets Learning Analytics

by karepin13

2019-08-26

3 Dashboard for students | LASI 2019 - Visualization meets Learning Analytics […] Let’s construct a prototype of dashboard for one of our students. Discussion: - How to show student’s perfomance? - Should we show students their predicted chances for success? On the graph below we show the score for each assesment aside with the average score of other students. We can highlight some of the student’s results which have notable differences with the average score. Whether it will be usefull or motivating for the student? Maybe we should show that graph to the teacher or assistant (in cases … Read more →

138

Notes for Nonparametric Statistics

by Eduardo García Portugués

2019-08-26
Notes for Nonparametric Statistics

Notes for Nonparametric Statistics. MSc in Statistics for Data Science. Carlos III University of Madrid. […] Welcome to the notes for Nonparametric Statistics for the course 2018⁄2019. The subject is part of the MSc in Statistics for Data Science from Carlos III University of Madrid. The course is designed to have, roughly, one lesson per each main topic in the syllabus. The schedule is tight due to time constraints, which will inevitably make the treatment of certain methods a little superficial compared with what it would be the optimal. Nevertheless, the course will hopefully give you a … Read more →

139

Analyzing single-case data with R and scan

by Jürgen Wilbert

2019-08-21

This is a book on analyzing single-case data but also on how to do this using the R package scan […] … Read more →

140

Quantitative Research Methods for Political Science, Public Policy and Public Administration: 4th Edition With Applications in R

by Hank Jenkins-Smith, Joseph Ripberger, Gary Copeland, Matthew Nowlin, Tyler Hughes, Aaron Fister, Wesley Wehde, and Josie Davis

2019-08-20

Quantitative Research Methods for Political Science, Public Policy and Public Administration: 4th Edition With Applications in R […] The idea for this book grew over decades of teaching introductory and intermediate quantitative methods classes for graduate students in Political Science and Public Policy at the University of Oklahoma, Texas A&M, and the University of New Mexico. Despite adopting (and then discarding) a wide range of textbooks, we were frustrated with inconsistent terminology, misaligned emphases, mismatched examples and data, and (especially) poor connections between the … Read more →

141

Introduction to Time Series Analysis and Forecasting in R

by Tejendra Pratap Singh

2019-08-19

Scripts from the online course on Time Series and Forecasting in R. […] Selecting the model. Due to seasonality involved, simple models will not be able to capture it. We therefore use the seasonal ARIMA and exponential smoothing models. Exponential smoothing models have seasonality built in it by construction. Complex models like mixed models and neural nets will be an overkill. … Read more →

142

Descenso Internacional del Sella

by Sergio Berdiales

2019-08-17

En este libro voy publicando mis notas sobre el Descenso Internacional del Sella. De momento solo he explorado los tiempos de los ganadores absolutos de la prueba, es decir, del K2 … Read more →

143

Modern R with the tidyverse

by Bruno Rodrigues

2019-08-17

This book will teach you how to use R to solve you statistical, data science and machine learning problems. Importing data, computing descriptive statistics, running regressions (or more complex machine learning models) and generating reports are some of the topics covered. No previous experience with R is needed. […] This book is still being written. Chapters 1 to 8 are almost ready, but more content is being added (especially to chapter 8). 9 and 10 are empty for now. Some exercises might be at the wrong place too and more are coming. You can purchase an ebook version of this book on … Read more →

144

How to Build a Shiny Application from Scratch

by Hadrien@rstudio.com

2019-08-16

How to Build a Shiny Application from Scratch […] Shiny is a powerful R package which allows you to create interactive web applications using the R programming language. It is particularly useful for creating applications that run on data and include some sort of data analysis or visualization. In addition to leveraging the power of R and its thousands of packages, one of the big benefits of shiny is the ease of developing applications using R only. Although it is possible to incorporate more traditional web design languages such as custom CSS or Javascript into your shiny application, it … Read more →

145

A Guide to Reproducible Research

by Callum Arnold

2019-08-15

This is a book that provides the foundations for good project structure and organisation. It guides you in what reproducible research is, and how we can implement it. If you would like to contribute to, and expand upon, sections, please submit a pull request on the GitHub Repo. Equally, please submit pull requests if you spot a typo or a mistake! […] This book’s focus is on how to produce reproducible research, and should serve as an introduction to data management and project organisation. Through the course of this document, we explain techniques that can be employed easily to help add … Read more →

146

AWS Tutorial

by Bingwei Liu

2019-08-09

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. … Read more →

147

R Installation Guide

by Integrated Report Team

2019-08-05

A step by step guide to installing R and the necessary R packages needed to perform secondary reviews. […] This guide walks secondary reviewers through installing R and its associated packages on their computer. A snapshot of the commands required to run the R packages is available on the “Install or Access R Tools” card on the Current Report Development Trello Board. Please refer to the FAQs section for answers to common questions, but note that this section will grow as we move through the process as group. If you still have questions about running R or the secondary review apps, the … Read more →

148

Dokumentasjon av utdanningsfaglig kompetanse

by Tormod Bøe Førsteamanuensis

2019-08-05

Dokumentasjon av utdanningsfaglig kompetanse […] I kapitlene indikerer > at teksten er hentet fra “Dokumentasjonskrav fra UiO”. https://www.uio.no/om/organisasjon/utvalg/utdanningskomiteen/moter/2018/mote-nr-10/rapport-fra-arbeidsgruppen-for-merittering-med-vedlegg.pdf https://www.uhr.no/temasider/karrierepolitikk/opprykksordninger/ https://www.uhr.no/_f/p1/i667c848f-8845-47e9-b8b6-fddfbde6782d/nasjonale_retningslinjer_vurdering_opprykk_professor_psykologi_npp_juni_2015.pdf https://lovdata.no/dokument/SF/forskrift/2018-09-12-1322 … Read more →

149

Eagle I.O Consultant Guidelines

by Eagle I.O

2019-08-02

This is the student guideline manual that describes expectations and responsibilities of Eagle I.O consultants. […] This manual was written in Bookdown using the GitBook … Read more →

150

Tutorial SIG pour le diagnostic territorial

by Tristan Berchoux (CIHEAM-IAMM)

2019-07-31

Tutoriel SIG pour le diagnostic territorial IAMM. […] Suite aux cours magistraux, vous allez maintenant prendre en main un logiciel de “Système d’Information Géographique” libre et open source : QGIS. Tout au long du tutoriel, vous allez devoir effectuer des manipulations qui seront différenciées par un fond gris avec des questions correspondantes auxquelles vous devez répondre. Les données nécessaires pour effectuer le tutoriel sont à télécharger ICI. Il vous est recommandé de sauvegarder votre projet (sous un nouveau nom) régulièrement Menu Projet → Sauvegarder sous… Les ordinateurs de … Read more →

151

R Graphics Cookbook, 2nd edition

by Winston Chang

2019-07-29
R Graphics Cookbook, 2nd edition

This cookbook contains more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly—without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project and includes a discussion of how and why the recipe works. […] Welcome to the R Graphics Cookbook, a practical guide that provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems. Each recipe … Read more →

152

OcFund QGG海内外基金调研

by 施旸 Yvette

2019-07-24

2019 Intern Report Collection […] 你好,世界。 … Read more →

153

Introductory Resources: Statistics and R

by Statistics Team, PPLS

2019-07-23

This is the main page of the course and contains the materials to help you going with R […] This course is designed for those who will be joining a third year Research Methods and Statistics (RMS) course and covers a number of introductions to topics which are core to statistical analysis in psychology and beyond. You will find here an introduction to R as a tool to analyse data, visualize it and to use it for a very very basic analysis of the relationships in your data. It will further revise some of the most commonly used statistical tests and provide you with a guidance how to set up and … Read more →

154

An R Exercise in Data Collection, Cleaning, and Merging U.S. Census Data

by Sean Conner

2019-07-22

An R Exercise in Data Collection, Cleaning, and Merging U.S. Census Data […] This document is intended as a follow-along tutorial for learning how to perform data collection and cleaning with R. To the best of my ability, I have tried to make this illustrative of real data and real tasks that anyone from a social science student to a county government official might actually encounter. To that end, I am building upon actual projects that I have worked on as a graduate research assistant to convey this information. For context, previously, I conducted a Mississippi case study of how indoor … Read more →

155

Learn RDataTable

by Vikram Singh Rawat

2019-07-22

This book is a guide to rich world of RDataTable […] R is Already a Slow Language please don’t defame it by using even slower packages. … Read more →

156

DJing to Dolphins

by Ian K Salter

2019-07-17

The 2017 tales of a voyage sailing away from Brexit Britain. […] The tales of a 2017 voyage sailing away from Brexit Britain reflecting on fake news with the help of the philosophies of science and mathematics. To Natalie - for once upon a time, on the banks of the Thames, encouraging me to keep writing. Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. © Ian K Salter 2017, 2018, … Read more →

157

Agile Machine Learning with R

by Edwin Thoen

2019-07-16

A workflow for doing machine learning in the R language, using Agile principles. […] Not even too long ago, when I was starting my career as a data scientist, I did not really have a workflow. Freshly graduated from an applied statistics master I entered the arena of Dutch business, employed by a small consulting firm. Neither the company I was with, nor the clients I was working for, nor myself had an understanding of what it meant to implement a statistical model or a machine learning method in the real world. Everybody was of course interested in this “Big Data” thing, so it did not take … Read more →

158

Introduction to Data Exploration and Analysis with R

by Michael Mahoney

2019-07-16

A detailed introduction to coding in R and the process of data analytics. Version 1.0.0 […] Welcome to Introduction to Data Exploration and Analysis in R (IDEAr)! This book is designed as a crash course in coding with R and data analysis, built for people trying to teach themselves the skills needed for most analyst jobs today. You won’t need any past experience with R or data analytics - the aim of the book is to work as a primer for people of all backgrounds. This book is currently being continuously deployed to bookdown.org and GitHub while editing continues. This is so that I can get … Read more →

159

Data Analysis and Processing with R based on IBIS data

by Kevin Donovan

2019-07-11

Data Analysis and Processing with R based on IBIS data […] Over the course of my time working with the Carolina Insitute for Developmental Disabilities (CIDD) and the Infant Brain Imaging Study (IBIS) network, I have seen a great interest in learning how to do basic statistical analyses and data processing among the trainees. Specially, there is an interest in learning how to use R, due to its popularity across the sciences and its zero financial cost. As a statistican in training, I feel it is a great benefit for scientists to learn R. It is vital for scientists to understand the … Read more →

160

jamoviで学ぶ心理統計

by Danielle J Navarro & Dvid R Foxcroft(著) 芝田征司(訳)

2019-07-10
jamoviで学ぶ心理統計

『jamoviで学ぶ心理統計』は心理学専攻の統計法入門クラス向けのテキストです。本書では,jamoviの使い方やデータ操作の方法についても扱います。統計の部分では,記述統計とグラフの作成について扱った後,確率理論,標本と推定,帰無仮説検定について説明します。理論についての説明の後は,分割表の分析,相関,t検定,回帰,分散分析について説明します。本書の最後では,ベイズ統計についても取りあげます。This book is a Japanese translation of learning statistics with jamovi. […] 本書はDavid Foxcroft氏が作成した『Learning … Read more →

161

Common statistical tests are linear models: a work through

by Steve Doogue

2019-07-09

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] This is a reworking of the book Common statistical tests are linear models (or: how to teach stats), written by Jonas Lindeløv. The book beautifully demonstrates how many common statistical tests (such as the t-test, ANOVA and chi-squared) are special cases of the linear model. The book also demonstrates that many non-parametric tests, which are needed when certain test assumptions do not hold, can be approximated by linear models using the rank of values. … Read more →

162

An Introduction to R, LaTeX, and Statistical Inference

by Yuleng Zeng

2019-07-07

An introduction to R for political scientists. […] This is an introduction to R and Latex. In compiling this documents, several sources have been consulted, including Tim Peterson’s website, Havard’s Math Prefresher, and the course offered by DataCamp. Make sure that you have a laptop throughout this introduction. Install the following applications, if you haven’t done so. Finally, this document is to be used in-class only. As I (will) mention several times, it borrows and merges a lot of resources online. Also, if you see any mistakes or have suggestions, please do shoot me an … Read more →

163

Decision-Driven Data Analytics for Well Placement Optimization in Field Development Scenario - Powered by Machine Learning

by Peyman Kor

2019-07-04

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] Submitted in accordance with the requirements for the degree of Master of Science (M.Sc)in Petroleum EngineeringUniversity of Stavanger, Energy Resources Department The data, source code and algorithem of this thesis can be found in the author’s Github. Your feedback and comments will be appreciated and the author could be reached out via Linkedin, twitter. This thesis is licensed under Attribution-NonCommercial-ShareAlike 4.0 … Read more →

164

RStudio para Estadística Descriptiva en Ciencias Sociales

by Giorgio Boccardo Bosoni y Felipe Ruiz Bruzzone

2019-07-03

RStudio para Estadística Descriptiva en Ciencias Sociales […] En su segunda edición este libro fue editado en RStudio mediante RMarkdown y compilado usando el paquete Bookdown. Su ejecución se efectuó en una distribución del sistema operativo Linux de tipo Mint, específicamente en su actualización 19.1 “Tessa” y variante Cinnamon Edition. Para evitar algunos problemas derivados de la actualización del kernel de Linux se utilizó el software R en su versión 3.4.4, aunque a la fecha de su publicación, R ya había lanzado a su versión 3.6. Para evitar incongruencias entre algunas dependencias de … Read more →

165

Fatal Force Study Group - Shiny App

by marwaelatrache

2019-07-03

Fatal Force Study Group - Shiny App […] The Fatal Force Study Group (FFSG) was founded at the University of Washington (UW) by professor Martina Morris. Morris has a strong background in Sociology and Statistics and after joining an activism group called Not This Time she decided to start investigating fatal encounters with police, along with a group of UW undergraduate students. Since then the group has been joined by Professor Ben Marwick, an UW archaeology professor with a strong interest in statistics and R, as well as several more undergraduate students from both UW and neighboring … Read more →

166

Time Series Midterm Review

by David Josephs

2019-07-02

A hopefully helpful guide … Read more →

167

PPLS PhD Training Workshop: Statistics and R

by Anastasia Ushakova and Emma Waterston

2019-06-28

This is the main page of the course and contains a course overview, schedule and learning outcomes. […] During this intensive workshop we will cover a number of introductions to topics which are core to statistical analysis in applied research. This will include introduction to R as a tool to analyse data, visualize it and to use it for a very very basic analysis of the relationships in your data. We will further revise some of the most commonly used statistical tests and provide you with a guidance how to set up and interpret them in R. We will introduce you to simple linear model and … Read more →

168

STAT160 R/RStudio Companion

by Statistics/Data Science at St. John Fisher College

2019-06-27

Companion document to Introduction to Statistical Investigations using R/RStudio. […] This companion is for use in STAT160 (Introduction to Data Science). The textbook for the course is Introduction to Statistical Investigations (Tintle et. al). Through in-class and home work assignments, students will learn to use R and RStudio. In this companion, we will review the commands and functions students will need to perform statistical analysis and generate statistical … Read more →

169

A guide to the 2017 European Internet Panel Study

by sveinungarnesen78

2019-06-26

This is a guide to the 2017 European Internet Panel Study data set. […] The EIPS is a collaboration between six European probability-based online survey panels. This document gives an overview of the fourth survey, conducted in 2017 (N = 18249). The 2017 joint survey wave was fielded in France by the L’ ́etude longitudinale par internet pour les sciences social sat Sciences Po, in Germany by the German Internet Panel at the University of Mannheim, in Iceland by the Social Science Research Institute Panel (University of Reykjavik), in The Netherlands by the Longitudinal Internet Studies for … Read more →

170

課程大綱 | ntpu-data-visualization.utf8.md

by tpemartin

2019-06-22

經濟資料視覺化處理 […] This course is designed to develop the skill of efficient graphic language, where efficiency is defined as the data information delivery that is self-contained, concise, and non-distorting. The programming language is mainly based on R, with a little bit of Javascript toward the end. Though there is no computer programming knowledge required, basic R knowledge will help (the ebook, R for Data Science, would be a good start). By the end of the course, students who learn well should be able to … Read more →

171

Feature Engineering and Selection: A Practical Approach for Predictive Models

by Max Kuhn and Kjell Johnson

2019-06-22

A primary goal of predictive modeling is to find a reliable and effective predic- tive relationship between an available set of features and an outcome. This book provides an extensive set of techniques for uncovering effective representations of the features for modeling the outcome and for finding an optimal subset of features to improve a model’s predictive performance. […] A note about this on-line text: This book is sold by Taylor & Francis Group, who owns the copyright. We will be updating this version as we find errors or typos (see the Errata). The physical copies are sold by Amazon … Read more →

172

Hackathon Talento - Reto 2 - Wind Farm

by Sergio Berdiales, Javier Campos y Manuel Antonio García

2019-06-21

Hackathon Talento - Reto 2 - Wind Farm […] Este notebook nace de nuestra participación el 4 de junio de 2019 como equipo en el Hackathon de Machine Learning organizado por Talento Corporativo y patrocinado por EDP, El Comercio, Clustertic y BigML. La competición consistió en el planteamiento de un par de retos de Machine Learning basados en datos de EDP y en los que había que utilizar la herramienta BIGml para ejecutar los modelos. El contenido de este notebook corresponde a la realización del segundo reto, cuyo planteamiento se describe en el apartado uno. Durante la competición la mayor … Read more →

173

Hackathon Talento - Reto 1 - SUNLAB

by Sergio Berdiales, Javier Campos y Manuel Antonio García

2019-06-21

Hackathon Talento - Reto 1 - SUNLAB […] Este notebook nace de nuestra participación el 4 de junio de 2019 como equipo en el Hackathon de Machine Learning organizado por Talento Corporativo y patrocinado por EDP, El Comercio, Clustertic y BigML. La competición consistió en el planteamiento de un par de retos de Machine Learning basados en datos de EDP y en los que había que utilizar la herramienta BIGml para ejecutar los modelos. El contenido de este notebook corresponde a la realización del primer reto, cuyo planteamiento se describe en el apartado uno. Durante la competición la mayor parte … Read more →

174

Introduction to Data Science

by Ron Sarafian

2019-06-19

Class notes for the BGU course - Introduction to Data Science. […] This book accompanies the course I give at Ben-Gurion University, named “Introduction to Data Science”. This is an introductory-level, hands-on focused course, designed for students with basic background in statistics and econometrics, and without programming experience. It introduces students to different tools needed for building a data science pipeline, including data processing, analysis, visualization and modeling. The course is taught in R environment. Most of the contents in this book are taken from BGU’s “R” course, … Read more →

175

課程大綱 | ntpu-programming-for-data-science.utf8.md

by tpemartin

2019-06-12

資料科學程式設計(一) […] 電子書網址:https://bookdown.org/tpemartin/ntpu-programming-for-data-science/電子書加個人註記:https://via.hypothes.is/https://bookdown.org/tpemartin/ntpu-programming-for-data-science/ gitter chatroom: https://gitter.im/ntpuecon/course-program-for-data-science107-2 This course is to build the foundation for being a data scientist–who masters both data analysis and data engineering. There are two programming languages that will be taught through the course: R and Javascript. R will serve as the data analysis backend, while … Read more →

176

數量方法(一)

by 林茂廷老師

2019-06-12

數量方法(一)電子書 […] 授課老師: 林茂廷 辦公室:社科大樓3F01 諮詢時間:TBA 電話:02﹣86741111轉67170 Email:mtlin@gm.ntpu.edu.tw … Read more →

177

空间广义线性混合效应模型及其应用

by 黄湘云

2019-06-11

Spatial generalized linear mixed models, Stationary Spatial Gaussian Process, Stan platform, Markov chain Monte Carlo. […] 空间统计的内容非常丰富,主要分为地质统计 (geostatistics)、 离散空间变差 (discrete spatial variation) 和空间点过程 (spatial point processes) 三大块 (Cressie 1993)。 地质统计这个术语最初来自南非的采矿业 (Krige 1951), 并由 Georges Matheron 及其同事继承和发展,用以预测黄金的矿藏含量和质量。空间广义线性混合效应模型 (Spatial Generalized Linear Mixed Model,简称 SGLMM) 在空间统计中有着广泛的应用,如评估岩心样本石油含量,分析核污染物浓度的空间分布 (Diggle, Tawn, and … Read more →

178

Mastering Apache Spark with R

by Javier Luraschi, Kevin Kuo, Edgar Ruiz

2019-06-10
Mastering Apache Spark with R

The complete guide to large-scale analysis and modeling. […] In this book you will learn how to use Apache Spark with R using the sparklyr R package. The book intends to take someone unfamiliar with Spark or R and help them become intermediate users by teaching a set of tools, skills and practices applicable to large-scale data science. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States License. We are working on making this book free to use through this website; in the meantime, you can order this book from amazon or read online from … Read more →

179

University of Calgary ARC Manual

by Naomi J. Goodrich-Hunsaker, Ph.D.

2019-06-03

University of Calgary ARC Manual […] This manual contains all of the code developed to run neuroimaging programs on the University of Calgary Arc high performance computing systems. If you need more general information or further clarification, visit my website at http://biabl.com or email me at naomi.hunsaker@utah.edu. … Read more →

180

Proyecto Final: Suicidios en México y EU

by Chávez Mañón Tania Nayeli, Mendoza Suárez Brenda Grisel, Vargas Mendoza Ana Luisa

2019-06-03

Proyecto Final: Suicidios en México y EU […] La motivación de este proyecto es conocer cuáles podrían ser los factores más significativos que llevan a una persona al suicidio para poder prevenirlo. Country: País. Categorías: Mexico, United States Year: Año. Categorías: 1985:2015 Sex: Género. Categorías: female, male Age: Edad. Categoriías: 5-14 years, 15-24 years, 25-34 years, 35-54 years, 55-74 years, 75+ years Suicides: Número de suicidios. Population: Población. HDI: Human development index (Índice de Desarrollo Humano) GDP_PP: Gross domestic product per Capita (Producto Interno Bruto) … Read more →

181

RAP Guide for ONS

by Joshua & Catrin

2019-06-03

This is a guide for RAP at the ONS […] The aim of this guide to provide a guide for RAP at the ONS. This is meant to be a more comprehsive guide for RAP at the ONS aimed at those newer to coding and is a suppliment to the RAP Companion and RAP course on Udemy. These materials are excellent and provide an in-depth look at RAP in R. what the point of the guide, it’s relationship to the RAP course/companion any conventions defintions Note: we refer to our package on GitLab as a ‘project’ throughout, however this can be interchanged with the term ‘repository’. Terminology - We refer to Git … Read more →

182

Lecture Notes voor Beleidsinformatica

by B. Depaire

2019-06-01

Dit zijn de lecture notes van het opleidingsonderdeel Beleidsinformatica […] Dit document bevatten de lecture notes voor het opleidingsonderdeel Beleidsinformatica (3512), gedoceerd aan de Universiteit Hasselt. Ieder hoofdstuk dient ter ondersteuning van een van de hoorcolleges en bevat zowel een samenvatting in “bullet-point” stijl alsook een verzameling bronnen op basis waarvan het hoorcollege is opgebouwd. We raden aan om deze lecture notes steeds kort na het hoorcollege door te nemen en aan te vullen met je eigen notities uit het college. Ook raden we aan de bronnen te raadplegen voor … Read more →

183

Preguntas entrevistas Data Science

by Sergio Berdiales

2019-05-30

Preguntas entrevistas Data Science […] En estas notas trato de responder a diferentes preguntas que un candidato para una posición de Data Scientist se puede encontrar en una entrevista. Muchas de las preguntas vienen directamente de artículos sobre este tema específico (enlaces en la sección ‘02-Referencias’), otras de mi experiencia personal y otras de aportaciones de otras personas. Aquí enlazo una Google sheet con las preguntas que voy recopilando. Si tienes alguna pregunta interesante y quieres añadirla al listado, adelante. Este es el repositorio en github: https://github.com/sergiober … Read more →

184

Utah DWQ’s irTools R package: An automated approach to state-wide water quality assessment

by Jake Vander Laan (jvander@utah.gov), Elise Hinman, & Emilie Flemer, Utah Division of Water Quality

2019-05-30

Utah DWQ’s irTools R package: An automated approach to state-wide water quality assessment […] This document provides a background and demonstration of the Utah DWQ IR Team’s re-development and automation of water quality assessment tools. This document consists of three components: 1. A background section describing the objectives, tools, and approach to developing new water quality assessment tools. 2. A full-scale demonstration of the current state of this new toolset via the application of these tools to a subset of water quality parameters from the 2016 IR period of record dataset … Read more →

185

Applications of Machine Learning in Imputation

by Methodology

2019-05-30

This document presents the findings from the 2018⁄19 project into the use of machine learning in imputation. […] Editing and imputation are both methods of data processing. Editing refers to the detection and correction of errors in the data, whilst imputation is a method of correcting errors in a dataset. This document presents findings from work carried out at the Office for National Statistics on the use of machine learning in imputation. The chapters address the following … Read more →

186

Elegant Bookdown Template

by Ethan Deng, Liam Huang, 黄湘云

2019-05-28

This is a bookdown template based on ElegantBook. The output format for this template is bookdown::gitbook and bookdown::pdf_book. […] Elegant LaTeX 项目组致力于打造一系列美观、优雅、简便的模板方便用户使用。目前由 ElegantNote, ElegantBook, ElegantPaper 组成,分别用于排版笔记,书籍和工作论文。如果你在使用本模板,推荐最新版本!最新正式版下载地址: Github。本文将介绍本模板的一些设置内容以及基本使用方法。如果您有其他问题,建议或者意见,欢迎在 Github 上给我们提交 issues 或者邮件1联系我们。最近我们新建了一个 QQ 用户交流群(Q … Read more →

187

Applied Causal Analysis (with R)

by Paul C. Bauer

2019-05-28

Script for the seminar Applied Causal Analysis at the University of Mannheim. […] The present document serves both as slides and script for the workshop/seminar Applied Causal Analysis. This seminar is taught by Paul C. Bauer (right now - Spring Semester 2019 - at the University of Mannheim). The material was developed by Paul C. Bauer and is based on earlier material developed for seminars/workshops at Mannheim University, the European University Institute and at the Programme doctoral en science politique (PDSPO), Switzerland. All chapters apart from Chapter “17 IV: Instrumental … Read more →

188

Juego de Tronos - Explorando sus datos

by Sergio Berdiales

2019-05-27

Juego de Tronos - Explorando sus datos […] El objetivo de este libro de bookdown es simplemente jugar un poco con los datos de la serie de televisión Juego de Tronos (HBO). Todo el código y los datos empleados se encuentran en este repositorio de Github https://github.com/sergioberdiales/game_of_thrones. Cualquier consulta, queja o sugerencia me la puedes enviar vía twitter twitter.com/SergioBerdiales … Read more →

189

From Madrid to Santiago de Compostela, 2019

by Robin and Katy

2019-05-27

Photobook of our trip from Madrid to Santiago via Salamanca, Ourense and the Camino de Compostela. […] Welcome to our photobook of our travels through Spain in May … Read more →

190

Monte Carlo Simulation Examples

by Mark Lai

2019-05-27

Handout for the workshop ‘Advancing Quantitative Science with Monte Carlo Simulations’. […] We know that, based on the CLT, under very general regularity conditions, when sample size is large, the sampling distribution of the sample mean will follow a normal distribution, with mean equals to the population mean, (\mu), and standard deviation (which is called the standard error in this case) equals the population SD divided by the square root of the fixed sample size. Let (\bar X) be the sample mean, then [\bar X \sim \mathcal{N}\left(\mu, \frac{\sigma^2}{N}\right)] Let’s imagine a … Read more →

191

R 数据分析指南与速查手册

by 郭晓

2019-05-26

这是郭晓的R数据分析笔记本。 […] 郭晓,北京大学电子学2018届硕士。数据分析从业者,R语言、机器学习持续精进学习中。爱好知识的整理、挖掘与应用。 联系方式:xiaoguodata@126.com … Read more →

192

Seeing through the developping lens:

by Paul Langard

2019-05-21

Seeing through the developping lens: […] Through this project, we aim to decipher post-transcriptional regulation network in the developping lens. In the past decades, post-transcriptional gene regulation (PTGR) was shown to be of particular importance in the developping lens. Indeed, the alteration of PTGR network can result in abnormal development of the lens, of the eye. For example, mutations in RNA binding proteins such as Celf1, Stau2, Tdrd7 has been associated to eye’s defects in animal models. mutation in RNA binding protein Tdrd7 was associated with juvenile cataract in human and … Read more →

193

Overview of suicide in the world

by Axel-Cleris Gailloty

2019-05-17

Overview of suicide in the world […] According to the WHO Suicides organization, 800.000 committed suicide in 2018. This means every 40 seconds a person dies by suicide. This number is fortunately dropping. In this kernel I want to explore the evolution of suicide rate using the dataset provided here on Kaggle. I’ll be using the powerful R language to do this analysis, my main focus is to understand what affects the suicide rate to decrease. Let’s start by loading the packages we’ll be using throughout this study. Before we go further in this analysis, it is important to know what each … Read more →

194

Calidad del aire en Gijón

by Sergio Berdiales

2019-05-16

Calidad del aire en Gijón […] Los objetivos principales de este proyecto son realizar análisis y visualizaciones de los datos de la estaciones oficiales de monitorización de la calidad del aire de la ciudad de Gijón. Este proyecto es hermano de este otro https://bookdown.org/sergioberdiales/tfm-kschool_gijon_air_pollution/, que fue mi trabajo final del Máster de Data Science en Kschool (por eso hay algunas partes del código comentadas en inglés). En él, además de tratar los datos y realizar distintos ejercicios de visualización de los mismos (ver visualizaciones en Tableau Public), realicé … Read more →

195

Основы обучаемых алгоритмов интеллектуальных систем

by Митрохин Максим Александрович

2019-05-14

Учебно-методическое пособие включает набор лабораторных работ по созданию алгоритмов машинного обучения для решения практических задач. В издании содержится необходимый набор теоретических сведений по методологии анализа данных и используемых алгоритмах. Выполнение работ предполагает использование языка программирования Python 3.5. Лабораторный практикум подготовлен на кафедре «Вычислительная техника» и предназначен для обучающихся по направлениям подготовки 09.03.01, 09.04.01, изучающих дисциплины «Основы интеллектуальных систем», «Интеллектуальные … Read more →

196

The Good Loser

by Peter Esaiasson, Sveinung Arnesen, and Hannah Werner

2019-05-13

The Good Loser […] This is the analysis report for the Good Loser Project by Peter Esaiasson, Hannah Werner, and Sveinung Arnesen. The study comprises three survey embedded experiments; one video vignette experiment in Norway, one text vignette experiment in Sweden, and one conjoint experiment in Norway. The study has been presented at the Barcelona-Gothenburg-Bergen workshop on Experiments in Political Science in 2018, and will be presented at the 2019 Conference of the Midwestern Political Science Association in Chicago, USA. About Study I – Swedish vignette: TBA About Study II – … Read more →

197

KINH TẾ LƯỢNG CƠ BẢN

by Nguyễn Phi Hiếu

2019-05-11

KINH TẾ LƯỢNG CƠ BẢN … Read more →

198

R for marketing students

by KU Leuven Marketing department

2019-05-11

KULeuven R tutorial for marketing students […] In this tutorial, we will explore R as a tool to analyse and visualise data. R is a statistical programming language that has rapidly gained popularity in many scientific fields. The main difference between R and other statistical software like SPSS is that R has no graphical user interface. There are no buttons to click. R is run entirely by typing commands into a text interface. This may seem daunting, but hopefully by the end of this tutorial you will see how R can help you to do better statistical analysis. So why are we using R and not one … Read more →

199

Lab Guide to Quantitative Research Methods in Political Science, Public Policy & Public Administration.

by josiesmith

2019-05-09

Lab Guide to Quantitative Research Methods in Political Science, Public Policy & Public Administration. […] This book is a companion to Quantitative Research Methods for Political Science, Public Policy and Public Administration (With Applications in R): 4th Edition, an open-source text book that is available here. It grew from our experiences teaching introductory and intermediate quantitative methods classes for graduate students in Political Science and Public Policy at the University of Oklahoma. We teach these courses using a format that pairs seminars on theory and statistics with … Read more →

200

Teaching and Learning with Jupyter

by Lorena A. Barba, Lecia J. Barker, Douglas S. Blank, Jed Brown, Allen B. Downey, Timothy George, Lindsey J. Heagy, Kyle T. Mandli, Jason K. Moore, David Lippert, Kyle E. Niemeyer, Ryan R. Watkins, Richard H. West, Elizabeth Wickes, Carol Willing, and Michael Zingale

2019-05-08

A handbook on teaching and learning with Jupyter notebooks. […] Lorena A. Barba, Lecia J. Barker, Douglas S. Blank, Jed Brown, Allen B. Downey, Timothy George, Lindsey J. Heagy, Kyle T. Mandli, Jason K. Moore, David Lippert, Kyle E. Niemeyer, Ryan R. Watkins, Richard H. West, Elizabeth Wickes, Carol Willing, and Michael Zingale This handbook is for any educator teaching a topic that includes data analysis or computation in order to support learning. It is not just for educators teaching courses in engineering or science, but also data journalism, business and quantitative … Read more →

201

DSBA-5122 Final Project

by Nicholas Occhipinti, Karyn Cook, Ziyin Liu

2019-05-06

The final report for DSBA-5122 Final Project […] For our project we explored data related to opioids, in an effort to better understand and obtain insight into the opioid epidemic. Our domain problem is one for a researcher wanting to explore the connection between prescriber rates of opioid prescriptions and opioid-related deaths both in the country as a whole and drilling down to the state level. The first part of the data we examined was prescriber data. This data would allow the researcher to see the distribution of opioid prescriptions across the US and also find the most commonly … Read more →

202

Statistical Rethinking with brms, ggplot2, and the tidyverse

by A Solomon Kurz

2019-05-05

This project is an attempt to re-express the code in McElreath’s textbook. His models are re-fit in brms, plots are redone with ggplot2, and the general data wrangling code predominantly follows the tidyverse style. […] I love McElreath’s Statistical Rethinking text. It’s the entry-level textbook for applied researchers I spent years looking for. McElreath’s freely-available lectures on the book are really great, too. However, I prefer using Bürkner’s brms package when doing Bayeian regression in R. It’s just spectacular. I also prefer plotting with Wickham’s ggplot2, and coding with … Read more →

203

自然生活的数学原理

by 于淼

2019-05-05

《自然生活的数学原理》,又名《新毕达哥拉斯主义》是一本于 2222 年出版的小册子,曾获得《银河系漫游指南》编辑认可而入选附录,但因编辑当天在厕所里作出录用决策后发现没带纸而失去机会,目前以薛定谔的猫态存在于作者脑中,旨在用最简单的数学原理进行日常生活决策,不断提升或降低生活幸福感。 生活在地球上的灵长类人类是一种奇怪的智慧动物,其进化后遗症包括但不限于没有发情期或者说性成熟后每时每刻都处于发情期、机体废气排放机制经常失灵、意识对行为存在虚幻的控制解释等等。 … Read more →

204

DWQ’s irTools package: An automated approach to water quality assessment

by Jake Vander Laan, Elise Hinman, & Emilie Flemer, Utah Division of Water Quality

2019-05-03

DWQ’s irTools package: An automated approach to water quality assessment […] This book provides a background and demonstration of the Utah DWQ IR Team’s re-development and automation of water quality assessment tools. This book consists of two components: 1. A background section describing the objectives, tools, and approach to developing new water quality assessment tools, and 2. A full-scale demonstration of the current state of this new toolset via the application of these tools to the 2016 IR period of record dataset (2008-2014). The source code for this book is available via GitHub … Read more →

205

Tank Guide

by Marina Wiebe

2019-04-27

This is a book regarding how to take care of my tank […] So, you’ve been tasked with taking care of your girlfriend’s hobby tank. It’s a pretty thing and it looks easy enough, but what’s all involved? This book will give you an idea of the tank buddies, tools, and … Read more →

206

Building Web Applications with Shiny and SQL Server

by Matthew Sharkey

2019-04-27

A guide to building scalable Shiny Datbase applications […] This book supplements my presentation at the Omaha R User Group on Thursday, April 4, … Read more →

207

Dissertating with RMarkdown and Bookdown | dissertating_rmd_presentation.utf8.md

by thea_knowles

2019-04-27

A preliminary tutorial led by Thea Knowles for the R-Ladies #LdnOnt workshop series Last updated: … Read more →

208

Introduktion till R

by Filip Wästberg

2019-04-24

Det här är ett dokument med kursmaterial till Coops introduktionsworkshop till R […] I det här dokumentet finns kursmaterial till Coops introduktionskurs till R. Här finner ni en introduktion till R samt de paket som vi kommer att använda. Jag har även lagt till facit för de övningar vi kommer att gå … Read more →

209

Applied Social Network Analysis in Education

by chen

2019-04-23
Applied Social Network Analysis in Education

This is a course handbook written by Bodong Chen for his SNA course at UMN. […] This site is the course portal of CI 8371 - Applied Social Network Analysis in Education, taught by Prof. Bodong Chen at the University of Minnesota in Spring ’19. Content on this site is actively built and refined throughout the semester. This site or book is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Last update: 2019-04-23 … Read more →

210

Techincal Analysis with R

by Ko Chiu Yu

2019-04-16

This is an introductory textbook that focuses on how to use R to do technical analysis. […] R is widely used in statistical computation. It is well-suited to do computationally heavy financial analysis. In particular, evaluating performance of trading rule based on technical indicators. Moreover, R can be one-stop solution to the whole procedure of data analysis. A standard procedure of financial data analysis is: You can do all of them inside R without using other software. This short book is a short introduction on how to use R and RStudio to do financial data analysis from the beginning. … Read more →

211

The twinetverse

by John Coene

2019-04-14
The twinetverse

A guide to visualise networks of Twitter interactions in R using the twinetverse. […] The goal of the twinetverse is to provide everything one might need to analyset and visualise Twitter interactions, from data collection to visualisation. The following pages will walk you trough the packages contained within the twinetverse, from collecting twitter data to building various types of networks to visualising them. The ’verse focuses on ease of use and interactivity. The source code for this book can be found on Github. You can suggest edits to this book by highlighting a section of text and … Read more →

212

Aprender R: iniciación y perfeccionamiento

by François Rebaudo

2019-04-10
Aprender R: iniciación y perfeccionamiento

Un guía para adquirir las bases de la programación con R y conducir de forma efectiva su gestión y análisis de datos. […] Este libro está diseñado para actualizarse de acuerdo con las nuevas características de R y según la disponibilidad de sus colaboradores. Es un libro de colaboración, así que siéntase libre de compartir sus comentarios o colaborar directamente para mejorarlo. Si tiene algún comentario, sugerencia o si identifica errores, no dude en enviarme un correo electrónico (francois.rebaudo@ird.fr), o si está familiarizado con GitHub en el sitio web del proyecto … Read more →

213

jamoviクイックガイド(Analysis編)

by 芝田 征司

2019-04-09

本書はjamoviのAnalysisモードの簡易ガイドです。jamoviのAnalysisモードに含まれるメニュー項目およびその設定項目について,簡単な説明を加えています。 […] 本書はjamoviのAnalysisモードを使用するための簡易ガイドです。メニューに含まれる項目やその設定項目について,簡単な説明を加えています。本書の内容の大部分は,jamoviと同じ分析をRで実行するためのパッケージ「jmv」のリファレンスをもとにしています。 本書は統計法の教科書としてではなく,(英語の苦手な学生たちが)jamoviを使って分析をする際のヘルプとして作成されています。統計そのものについてはすでに一定の知識がある,あるいは統計の授業や教科書で … Read more →

214

一个简单的PTE教程

by 邱睿

2019-04-08

一个简单的PTE教程 […] … Read more →

215

BIOL3360 - Analysis and Communication of Biological Data:

by janengelstaedter

2019-04-05

This online textbook contains learning material for the UQ (The University of Queensland) course BIOL3360: Analysis and Communication of Biological Data. This book is organised with each chapter corresponding to lectures from the Mathematical Modelling component of the course. This book contains many code chunks that can be copied and pasted into an R console to create Shiny apps of the models being discussed. Content and figures were created by Jan Engelstädter. Online version including Shiny apps were created by Nicole Fortuna. Read more →

216

Bookdown

by Arredondo Sánchez Andrea Elizabeth, Vargas Mendoza Ana Luisa

2019-04-02

Yihui Xie es ingeniero de software de RStudio, autor de distintos paquetes como knitr, blogdown, xaringan, tinytex y bookdown. Además, ha colaborado en importantes paquetes como Shiny y RMarkdown. Ha publicado libros como “bookdown: Authoring Books and Technical Documents with R Markdown” del cual nos basaremos para hablar de Bookdown. Bookdown es un paquete de R que nos ayuda a integrar multiples documentos de R Markdown en un solo archivo con formato HTML, PDF,… . Este archivo puede ser un manual de usuario, nuestras notas de estudio e incluso nuestro diario. En él podemos agregar y editar … Read more →

217

Steem Handbook

by Steem 中文社区集体创作

2019-03-30

Steem Handbook […] 本书的编写和维护需要长久的贡献,大门永远敞开,欢迎加入我们。你可以: 贡献本书缺失的内容; 修改已有内容; 修改错别字; 其他任何跟书稿编写有关的工作。 向本书项目投稿的方法见附录16。 主编:@dapeng 副主编: @maiyude 顾问(按字母顺序):@deanliu @jademont @lemooljiang @oflyhigh @rivalhw @sweetsssj @tumutanzi 编剧: @maiyude 封面设计: @maiyude 本书的各章作者、编辑、校对见各章节脚注。待书稿完成后,名单将汇总在这里。 … Read more →

218

The Good Loser – Results from Three Survey Experiments

by sveinungarnesen78

2019-03-28

The Good Loser – Results from Three Survey Experiments […] This is the analysis report for the Good Loser Project by Peter Esaiasson, Hannah Werner, and Sveinung Arnesen. The study comprises three survey embedded experiments; one video vignette experiment in Norway, one text vignette experiment in Sweden, and one conjoint experiment in Norway. The study has been presented at the Barcelona-Gothenburg-Bergen workshop on Experiments in Political Science in 2018, and will be presented at the 2019 Conference of the Midwestern Political Science Association in Chicago, USA. About Study I – Swedish … Read more →

219

Data Visualization in R

by Brooke Anderson

2019-03-28

Online booklet for conference workshop on data visualization with R, geared to those who have never used R. […] I have based this workshop on examples for you to try yourself, because you won’t be able to learn how to program unless you try it out. I’ve picked example data that I hope will be interesting to Navy and Marine Corp public health researchers and practitioners. You can download the slides from the workshop by clicking here. To try out these examples, you need some set-up: This section will walk you through each step. R is free and open-source software. You can download a copy for … Read more →

220

From my lovers and others. (Letters from 2013-2014)

by Carlos Alcalá

2019-03-25

This is a compendium of the letters written, sent and received during October 2013 until September 2014. […] Memory, knowledge, lives, even identities, all is distributed. We are socially fragmented. It could be used as an argument for a non-local consciousness theory. Therefore, with this text, I am just trying to compile pieces of what I have been in order to know a bit better what I am know. I have been told in the past that there is wisdom in the text that I wrote, and I am certainly sure that there is wisdom in the texts that I received. I hope you find something that makes your life … Read more →

221

Machine Learning

by Michael Clark

2019-03-25
Machine Learning

This document provides an introduction to machine learning for applied researchers. While conceptual in nature, demonstrations are provided for several common machine learning approaches of a supervised nature. In addition, all the R examples, which utilize the caret package, are also provided in Python via scikit-learn. […] … Read more →

222

A Short Course on Nonparametric Curve Estimation

by Eduardo García Portugués

2019-03-24
A Short Course on Nonparametric Curve Estimation

A Short Course on Nonparametric Curve Estimation. MSc in Applied Mathematics. EAFIT University (Colombia). […] This course is intended to provide an introduction to nonparametric estimation of the density and regression functions from, mostly, the perspective of kernel smoothing. The emphasis is placed in building intuition behind the methods, gaining insights into their asymptotic properties, and showing their application through the use of statistical software. The software employed in the course is the statistical language R and its most common IDE (Integrated Development Environment) … Read more →

223

Data Science avec R

by Fousseynou Bah

2019-03-18

Data Science avec R […] En décidant d’écrire un livre sur la data science, j’ai longuement débattu dans ma propre tête, je me suis posé plusieurs questions dont une qui revenait constamment: “a-t-on vraiment besoin d’un autre livre sur la data science?” “N’en-t-on pas assez?” Avec le succès dont jouit la discipline, ce n’est certainement pas les ressources qui manquent, aussi bien en ligne que dans les librairies. Et surtout, je me demandais bien “qu’avais-je à dire qui n’avait pas été dit”? Et pourtant, quelques raisons m’ont poussé à reconsidérer ma position. La première est assez égoïte. … Read more →

224

Predictive Soil Mapping with R

by Tomislav Hengl and Robert A. MacMillan

2019-03-17

Predictive Soil Mapping aims to produce the most accurate, most objective, and most usable maps of soil variables by using state-of-the-art Statistical and Machine Learning methods. This books explains how to implement common soil mapping procedures within the R programming language. […] This is the online version of the Open Access book: Predictive Soil Mapping with R. Pull requests and general comments are welcome. These materials are based on technical tutorials initially developed by the ISRIC’s Global Soil Information Facilities (GSIF) development team over the period 2014–2017. This … Read more →

225

Predictive Soil Mapping with R

by Tomislav Hengl and Robert A. MacMillan

2019-03-17

Predictive Soil Mapping aims to produce the most accurate, most objective, and most usable maps of soil variables by using state-of-the-art Statistical and Machine Learning methods. This books explains how to implement common soil mapping procedures within the R programming language. […] This is the online version of the Open Access book: Predictive Soil Mapping with R. Pull requests and general comments are welcome. These materials are based on technical tutorials initially developed by the ISRIC’s Global Soil Information Facilities (GSIF) development team over the period 2014–2017. This … Read more →

226

PhD Training Workshop: Statistics in R

by Anastasia Ushakova and Milan Valasek

2019-03-12

This is the main page of the course and contains a course overview, schedule and learning outcomes. […] During this intensive workshop we will cover a number of introductions to topics which are core to statistical analysis in applied research. This will include introduction to R as a tool to analyse data, visualize it and to use it for a very very basic analysis of the relationships in your data. We will further revise some of the most commonly used statistical tests and provide you with a guidance how to set up and interpret them in R. Lastly, we will introduce you to simple linear model … Read more →

227

Utah TDS wqTools vignette

by Jake Vander Laan, Utah Division of Water Quality

2019-03-07

Utah TDS wqTools vignette […] This vignette shows an example of using wqTools functions to extract and analyze statewide patterns of one water quality parameter, total dissolved … Read more →

228

Chapitre 4 Importer des données dans R | Data Science avec R

by Fousseynou Bah

2019-03-05

Chapitre 4 Importer des données dans R | Data Science avec R […] Dans le flux de travail (workflow) du data scientist, l’importation constitue très généralement le point de départ. Les données ne sont toujours disponibles sous le format qui se prête à l’analyse souhaitée. Elles peuvent exister dans un classeur Excel sous format xls, xlsx ou csv. Elles peuvent aussi se trouver dans une base de données relationnelles, où diverses tables sont connectées entres elles. Elles peuvent même être disponibles sur Internet (page Wikipédia, Twitter, Facebook, etc.) Dans tous les cas, il revient au data … Read more →

229

Minimal-Git-demo

by PoMingChen

2019-02-28

This is a minimal example of Git service through GitHub and the GitHub Desktop. […] 小瑜是一位社會人文科學相關主修的學生,學習上常常會需要寫報告,動則數千字到上萬字,以下是他管理檔案的方式,他承認有時候快被自己氣死…..會不會有時自己也這樣XD 截圖 後來,因緣際會地留意到Git這個東西,一套能夠讓開發者得以進行版本控制的程式。 往後用了Git之後,從此事半功倍好棒棒,檔案內容追蹤管理都方便許多,一起來瞧瞧Git到底是哪裡這麼厲害! 與其他教材稍有不同的是,這本書規劃先從輕鬆的GitHub平台環境介紹開始,版本控制的學習則用圖形化介面(GUI)的GitHub Desktop實作來建立觀念,同時說明上嘗試以情境實作的方式來想像Git能 … Read more →

230

Generalized Additive Models

by Michael Clark

2019-02-17
Generalized Additive Models

An introduction to generalized additive models (GAMs) is provided, with an emphasis on generalization from familiar linear models. It makes extensive use of the mgcv package in R. Discussion includes common approaches, standard extensions, and relations to other techniques. More technical modeling details are described and demonstrated as well. […] … Read more →

231

An Incomplete Solutions Guide to the NIST/SEMATECH e-Handbook of Statistical Methods

by Ray Hoobler

2019-02-16

Analysis of case studies and exercies with a focus on using the tidyverse and ggplot2. This handbook was created using the bookdown package in RStudio. The output format for this example is bookdown::gitbook. […] Exploratory Data Analysis (EDA) is a philosophy on how to work with data, and for many applications, the workflow is better suited for scientist and engineers. As a scientist, we are trained to formulate a hypothesis and design a series of experiments that allow us to test the hypothesis effectively. Most data, however, doesn’t come from carefully controlled trials, but from … Read more →

232

Comparative Methods

by Brian O’Meara

2019-02-13

How to do comparative methods for evolution and ecology […] This book was created as part of my PhyloMeth class, which focuses on sensibly using and developing comparative methods. It will be actively developed over the course of Spring 2017, so if you don’t like this version (see date above), check back soon! The book is available here but you can fork it, add issues, and look at raw source code at https://github.com/bomeara/ComparativeMethodsInR. [Note I’ll be changing the name of the repo eventually; the course is largely in R (not entirely) but of course many key methods appear in other … Read more →

233

The Status Quo Bias in Referendums

by Sveinung Arnesen, Troy S. Broderstad, Mikael P. Johannesson, Jonas Linde

2019-02-12

This is an analysis report of a comparative conjoint study on the legitimacy of EU referendums. […] This is the analysis report for the conjoint experiment of the Wiggle room study by Sveinung Arnesen, Troy S. Broderstad, Mikael P. Johannesson, and Jonas Linde. The experiment was fielded in France, Germany, Iceland, Norway, Sweden, and the Netherlands as part of the 2017 European Internet Panel Study (EIPS); a collaboration between six European probability-based online survey panels. The 2017 joint survey wave was fielded in France by the L’ ́etude longitudinale par internet pour les … Read more →

234

Practical R Package Development (Japanese)

by Hiroaki Yutani

2019-02-10

Practical R Package Development […] Rのパッケージ開発については「R Packages」(Hadley Wickham、2015)に詳しいが、Rのパッケージ開発にはここ数年で様々な変化があった。 幸い、同書は第2版に向けて大幅に書き直される予定1なので、賢明なRパッケージ開発者はそれを待つのがいいだろう。本書は、あくまでもそれまでのつなぎのような存在として、むしろ筆者のメモ代わりとして、衝動的に書き殴られたものだ。Rパッケージ開発の基礎はすっとばし、新たなトピックを中心に取り扱う。信用がおける知識についてはあくまでも「R Packages」を参照されたい。 本書は、「R Packages」に載っていないことを中心に書く、という性質上、あまり初心者向けではないかもしれない … Read more →

235

«Волопас и Северная Корона»

by Dmitry Gorodnichy

2019-02-09
«Волопас и Северная Корона»

Tales and Songs of Dmitry Gorodnichy […] Давным давно, когда ни тебя, ни меня, ни даже моих пра-пра бабушек, пра-пра дедушек ещё не было, да и вообще людей ещё не было, а было только Небо и были Звёзды, жил был принц, которого звали Волопас, и принцесса, которую звали Северная Корона. Они не знали друг друга, жили в разных странах, разговаривали на разных языках. Но одно у них было общее - они одинаково любили красоту и музыку, как часть этой красоты. – А почему их так необычно звали? И что дальше было? – О, Это очень длинная и очень красивая история, а точнее много разных историй. Но … Read more →

236

Mixed Models in R

by Michael Clark

2019-02-07
Mixed Models in R

This is an introduction to mixed models in R. It covers a many of the most common techniques employed in such models, and relies heavily on the lme4 package. The basics of random intercepts and slopes models, crossed vs. nested models, etc. are covered. Discussion includes extensions into generalized mixed models and realms beyond. […] … Read more →

237

Entre le terre et le ciel

by ΔΓ

2019-02-06

by Dmitry Gorodnichy […] Песни сегодняшнего и завтрашнего дня (Песни с земли и с неба) На украинском, русском, французском и английском. Зимний блюз Сверху … Read more →

238

«Детский альбом»

by Дмитрий Городничий

2019-02-05
«Детский альбом»

«Детский альбом» […] Музыка и слова: Дмитрий Городничий, кроме 6 (слова и музыка: Роксана Городничая), 16-17 (слова: Афанасьева), 21 (музыка: Гедике), 22 (музыка: Глинка) Версия для печати: PDF, EPUB. Online: https://bookdown.org/gorodnichy/amour (рабочая версия: http://IVIM.ca/dg/amour). Слушать на Soundcloud: https://soundcloud.com/dmitry-gorodnichy/sets/amour. Книга издана с использованием bookdown. Источник на github. Dmitry Gorodnichy, IVIM Inc. © 1992-2012. All Rights Reserved. The use of copyrighted material for non-commercial purposes is allowed. The reference to the source is … Read more →

239

«Le long de la voie lactée» (Love songs

by Дмитрий Городничий

2019-02-05
«Le long de la voie lactée» (Love songs

«Le long de la voie lactée» (Love songs […] Песни неразделённой любви. На украинском, русском, французском и английском языках. Музыка и слова: Дмитрий Городничий. В записи альбома также участвуют: Андрей Городничий, Екатерина Лаврентьева, Людмила Городничая. Версия для печати: PDF, EPUB. Online: https://bookdown.org/gorodnichy/amour (рабочая версия: http://IVIM.ca/dg/amour). Слушать на Soundcloud: https://soundcloud.com/dmitry-gorodnichy/sets/amour. Книга издана с использованием bookdown. Источник на github. Dmitry Gorodnichy, IVIM Inc. © 1992-2012. All Rights Reserved. The use of … Read more →

240

«По ту сторону горизонта»

by Дмитрий Городничий

2019-02-05
«По ту сторону горизонта»

Farewell songs (by Dmitry Gorodnichy) […] В этот альбом вошли песни, рождённые чувствами расставания - расставания с домом, с юностью, любимым человеком, с эпохой. Они охватывают несколько эпох - от самых ранних моих песен, когда я расставался с институтом, где учился, и своими первыми студенческими друзьями, до песен, посвященных моему отъезду из дома в далёкую Канаду, и наконец последних, выплеснувшихся под болью утраты близких и родных. Несколько редких семейных видео вошли сюда, также как и несколько выступлений в русских школах и на фестивалях авторской песни. Музыка и слова: Дмитрий … Read more →

241

What does the plant do?

by Otho Mantegazza

2019-02-05

A Planter’s Punch that quickly got out of hand […] I wrote this booklet a couple of years ago, while I was working at CEPLAS. – Plants collect energy from sunlight and use it to produce fruits that we eat, fibers that we wear and much, much more; in a process called photosynthesis. This process is fundamental for our life on Earth, and it has been intensively studied for centuries by scientists. Scientists like me, like us. Here I’ll give you a glimpse of our scientific research. After a very short introduction to photosynthesis, I’ll explain to you one of its details and one of the methods … Read more →

242

Data Science con R: Fundamentos y Aplicaciones

by BEST: Behavioral Economics & Data Science Team

2019-02-04

El mejor libro en espanol de ciencia de datos, libre y abierto. […] Nota: El libro se encuentra en etapa de desarrollo. Este libro ha sido elaborado por BEST. Hace unos años el término Data Science no era tan conocido ni utilizado por la comunidad internacional, y menos aún local (Perú). En realidad, era un término usado rara vez por los estadísticos y algunos miembros de la computación científica. Y es que nuestra sociedad ha evolucionado, y con ellos ciertas necesidades. La Ciencia de Datos ha venido para quedarse, y en cualquier profesión (economistas, psicólogos, biólogos, … Read more →

243

APS 135: Introduction to Exploratory Data Analysis with R

by Dylan Z. Childs

2019-02-03

Course book for Introduction to Exploratory Data Analysis with R (APS 135) in the Department of Animal and Plant Sciences, University of Sheffield. […] This is the online course book for the Introduction to Exploratory Data Analysis with R component of APS 135, a module taught by the Department and Animal and Plant Sciences at the University of Sheffield. You can view this book in any modern desktop browser, as well as on your phone or tablet device. Dylan Childs is running the course this year. Please email him if you spot any problems with the course book. You will be introduced to the R … Read more →

244

Broadening Your Statistical Horizons

by Julie Legler and Paul Roback

2019-01-30
Broadening Your Statistical Horizons

An applied textbook on generalized linear models and multilevel models for advanced undergraduates, featuring many real, unique data sets. It is intended to be accessible to undergraduate students who have successfully completed a regression course. Even though there is no mathematical prerequisite, we still introduce fairly sophisticated topics such as likelihood theory, zero-inflated Poisson, and parametric bootstrapping in an intuitive and applied manner. We believe strongly in case studies featuring real data and real research questions; thus, most of the data in the textbook arises from collaborative research conducted by the authors and their students, or from student projects. Our goal is that, after working through this material, students will develop an expanded toolkit and a greater appreciation for the wider world of data and statistical modeling. Read more →

245

Machine Learning with Rust

by Tae Geun Kim

2019-01-29

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] 최근들어 기계학습(Machine Learning)은 점차 중요해지고 있습니다. 학습된 기계들은 바둑이나 게임에서부터 프로들을 가뿐히 눌렀고, 연구나 업무를 훨씬 효율적으로 해결합니다. 그러나 단순히 모두가 한다고 해서 섣부르게 시작하다가는 결과가 나와도 해석하지 못하거나 혹은 애초에 잘못된 결과가 나올 수도 있습니다. 따라서 이 책에서는 단순히 Machine Learning Framework를 사용하는 것이 아닌, 밑바닥부터 차근차근 이론을 적용하여 Machine Learning을 학습하고자 합니다. 그러기 위해서 우리는 Rust라는 프로그래밍 언어와 매우 유명한 Bishop의 … Read more →

246

Bilingual Christmas songs

by gorodnichy

2019-01-29

A compilation of Christmas song favourites for multi-lingual families, with chords […] … Read more →

247

7 Agrupación de la información | Estadística y Machine Learning con R

by Francisco Parra

2019-01-28

7 Agrupación de la información | Estadística y Machine Learning con R […] Tanto las técnicas de reducción de dimensiones como las de agrupamiento, están basadas en determinar la semejanza (proximidad, similaridad) o disparidad (distancia, disimilaridad) existente; entre las variables las primeras, entre los individuos/variables las segundas. Lo primero a decidir será, pues, si optamos por centrar el análisis en medir disparidad o semejanza, lo cual dependerá en buena parte de los objetivos planteados en la investigación. Otra cuestión a considerar a la hora de optar por una medida u otra es … Read more →

248

UPR-PRISE Data Science Workshop 01/26/2019

by Felix E. Rivera-Mariani, PhD

2019-01-25

This manual is part of data science workshop titled GPS of Data Analytics: Making the Witness (the Data) Confess. The output format for was elaborated with bookdown::gitbook. […] Welcome to the data science workshop titled The GPS of Data Analytics: Making the Witness (the Data) Confess. In this workshop, sponsored by the University of Puerto Rico Ponce Research Initiative for Scientific Enhancement, students will learn and implement different aspects of data science, from establishing a set of tools necessary to carry out data science to deploying statistical models through coding, … Read more →

249

CFPS 之R语言学习笔记

by 王敏杰

2019-01-25

一个简单的中文书示例。 […] 你好,我的初衷是想记录学习北京大学开放数据平台中的中国家庭追踪调查CFPS1数据集的过程,也帮助同学们用R语言快速的重复相关研究。 这本书是这样的, 第 1 章介绍CFPS的情况, 第 2 章介绍农村土地流转研究, 第 3 章介绍劳动力流动、家庭收入与农村人力资本投资, 第 4 章介绍社会资本与精准扶贫,然后是啥啥…… 每个章节研究的内容都是彼此独立的,大家可以单独阅读和运行代码。 我用了两个 R 包编译这本书,分别是 knitr (Xie 2015) 和 bookdown (Xie 2018)。以下是我的 R 进程信息: 非常感谢谁谁以及谁谁对我的帮助。艾玛,要不是他们神一样的队友,我两年前就写完这本书了。 Xie, Yihui. 2015. Dynamic Documents with R and Knitr. 2nd ed. Boca Raton, Florida: Chapman; Hall/CRC. … Read more →

250

Pursuing Truth: A Guide to Critical Thinking

by Randy Ridenour

2019-01-22
Pursuing Truth: A Guide to Critical Thinking

This is a textbook for use in undergraduate critical thinking courses. […] This is a textbook written primarily for my students in PHIL 1502: Critical Thinking, at Oklahoma Baptist University in Shawnee, Oklahoma. There are many good textbooks for critical thinking on the market today, so why write another one? First, all of those books were written for someone else’s course. None cover all of the topics that I would like to cover in class. Second, as I’m sure any student can attest to, textbooks are remarkably expensive, to the point that most of the world’s population cannot afford access … Read more →

251

Gijón Air Pollution - An exercise of visualization and forecasting

by Sergio Berdiales

2019-01-17

Gijón Air Pollution - An exercise of visualization and forecasting […] My name is Sergio Berdiales and I am a Data Analyst with more than ten years experience in Customer Experience and Quality areas. If you want to know more about me or contact me you can visit my Linkedin profile or my Twitter account. This is my final project for the Kschool Master on Data Science (8th edition). The main objective of this project is to show I can apply the acquired knowledge during the master’s course in a practical way . The Master on Data Science of Kschool is a 230-hour course which includes Python … Read more →

252

基于R语言的科研信息分析与服务

by 王敏杰

2019-01-17

Scientific Research information service using R […] 在图书馆开设R语言系列讲座也有一年半载了,在此过程中我萌生了用R语言写一本书的想法,一方面是想为学生提供R语言学习范例,另一方面也借此为我校科研人员提供一些科研信息服务。如果此举能做到教学相长,更好地实践和应用数据科学,也算是一次很有意义的尝试,无奈自己时间精力有限,写书进展缓慢。 这本书是这样的, 第 1 章简单介绍数据科学与R语言, 第 2 章引入科研信息数据集,并利用tidyverse宏包进行数理统计和数据可视化, 第 3 章统计科研论文中通讯地址使用情况,并给出写作的规范建议, 第 4 章介绍了各学院对ESI学科的贡献,以及期刊对引文的贡献, 第 5 章基于中科院JCR期刊分区分析我校科研人员的选刊倾向, 第 6 … Read more →

253

Supplement to Shiny in Production

by kellobri.github.io

2019-01-15

This document is full of supplemental resources and content from the Shiny in Production Workshop delievered at rstudio::conf 2019. … Read more →

254

Ian and Molly’s Odyssey

by Ian K Salter

2019-01-05

The story of a small journey in Autumn 2016. […] This very short book documents a voyage through France taken in the autumn of 2016. Its two participants head south in their car Dot. The purpose of their journey is … Read more →

255

Learning statistics with R: A tutorial for psychology students and other beginners. (Version 0.6.1)

by DJ Navarro

2018-12-31

Learning Statistics with R covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software. The book discusses how to get started in R as well as giving an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, … Read more →

256

Visualization

by Stanford Data Lab

2018-12-27

This is a book on data visualization using ggplot2 created for the Stanford Data Challenge Lab. […] This is a … Read more →

257

Statistical Rethinking

by Brynjólfur Gauti Jónsson

2018-12-18

These are solutions from the book by Richard McElreath. … Read more →

258

Referentiekaarten

by Laura Moria

2018-12-18

Referentiekaarten […] Voor de KRW is een groot deel van het oppervlaktewater aangewezen als waterlichaam. Een waterlichaam is een “onderscheiden oppervlaktewater van aanzienlijke omvang, zoals een meer, een rivier of een kanaal”. Voor deze wateren moet de toestand van het aquatisch ecosysteem beschreven worden. Onder oppervlaktewateren van “aanzienlijke omvang” vallen waterlichamen met een minimale oppervlakte van 0,5 km2 of een stroomgebied tussen de 10 en 100 km2. In onderstaande afbeelding staan de KRW waterlichamen in het beheergebied van AGV. In de Kaderrichtlijn Water (KRW) is een … Read more →

259

Ecologische sleutelfactoren in beeld

by Laura Moria

2018-12-18

De informatie over de huidige situatie en ontwikkelingen van het aquatisch ecosysteem in de regio Amstel, Gooi en Vechtstreek bundelen wij in een zogenaamde Atlas met thema kaarten. Onze doelstellingen en de huidige ecologische kwaliteit zijn verbeeld in de afbeeldingen hieronder. Op een andere pagina (Waterkwaliteit in beeld) staan kaarten van verschillende indicatoren van ecologische kwaliteit voor de Habitatrichtlijn (Natura2000) en de Kaderrichtlijn water. Naast de ontwikkeling van de ecologische toestand wordt ook verbeeld welke processen deze toestand bepalen in het hoofdstuk hieronder … Read more →

260

Waterkwaliteit in beeld

by Laura Moria

2018-12-14

Waterkwaliteit in beeld […] De informatie over de huidige situatie en ontwikkelingen van het aquatisch ecosysteem in de regio Amstel, Gooi en Vechtstreek bundelen wij in een zogenaamde Atlas met thema kaarten. Onze doelstellingen en de huidige ecologische kwaliteit zijn verbeeld in de afbeeldingen hieronder. In hoofdstuk 2 staan kaarten van verschillende indicatoren van ecologische kwaliteit voor de Habitatrichtlijn (Natura2000) en de Kaderrichtlijn water. Naast de ontwikkeling van de ecologische toestand wordt ook verbeeld welke processen deze toestand bepalen op een andere pagina … Read more →

261

Economía Conductual: Fundamentos y Aplicaciones

by BEST: Behavioral Economics & Data Science Team

2018-12-14

El mejor libro en español de economía conductual, libre y abierto. […] Entender el comportamiento de las personas o de la sociedad, es un tema fascinante. Hace algunos siglos atrás, el profeta Isaías escribió: La economía conductual toca este tema, desde una perspectiva cientìfica, apoyado de la psicología y economía. El libro se compone de 4 partes. Parte I cubre la parte introductoria. El capítulo I Adam Smith, Padre de la Economía Conductual, se enfoca en los orígenes de la economía y de la economía conductual, ambos teniendo a Adam Smith como padre de ambos campos de estudio. El … Read more →

262

Comparing Social Dynamics of a Rental and Purchased Block

by Jolene Quek

2018-12-13

Comparing Social Dynamics of a Rental and Purchased Block […] … Read more →

263

Tidyverse Cookbook

by Malte Grosser

2018-12-07

Simple cookbook for functions and idioms within the scope of the tidyverse. […] The basic idea of this book is to provide a documentation of the tidyverse written in a solution driven cookbook style. As an extra I would like to provide similar solutions based on base R functionality. Some reasons to write this book: One strength of the tidyverse is that it hides a lot of quirks that base R provides and inherits to many packages that rely on it. This allows to stick to a specific workflow from the point you enter the tidyverse until you leave it. This is why I highly recommend to head your … Read more →

264

Big data and Social Science

by Paul C. Bauer

2018-12-07

Script for the seminar ‘Big Data and Social Science’ at the University of Bern. […] The present document serves both as slides and script for the workshop/seminar Big Data and Social Science. This seminar is taught by Paul C. Bauer at the University of Bern (Fall Semester 2018). The material was developed by Paul C. Bauer and heavily draws on material developed by Pablo Barberà in courses such as Social Media & Big Data Research, Big Data Analysis in the Social Sciences and Automated Collection of Web and Social Data. Any original material and examples is licensed under a Creative Commons … Read more →

265

Base de datos corporativa de personas

by Fernando Izco

2018-11-27

Documentación de la prueba de concepto de la base de datos corporativa de personas […] Este documento describe principalmente la prueba de concepto ejecutada como parte del estudio de viabilidad 22173 EV - Base de datos corporativa de personas Este primer capítulo es un resumen ejecutivo. En caso de querer profundizar más sin perderse en detalles técnicos, consultar también el capítulo 2, ‘Concepto de Solución’. Los demás capítulos describen la prueba de concepto, con el detalle técnico de la implementación. Atariak eta Ezagutza Kudeatzeko Atala / Sección de Portalización y Gestión del … Read more →

266

A First Course on Statistical Inference

by Isabel Molina Peralta and Eduardo García Portugués

2018-11-21

Notes for Statistical Inference. MSc in Statistics for Data Science. Carlos III University of Madrid. […] Definition 1.1 (Random experiment) A random experiment is an experiment with the following properties: The following concepts are associated with a random experiment: Example 1.1 The next experiments are random experiments: A probability function is defined as a mapping of subsets (events) of the sample space (\Omega) to elements in ([0,1]). Therefore, it is convenient to count on a “good” structure for these subsets, which will provide “good” properties to the probability … Read more →

267

POSEIDON tutorial

by Ernesto Carrella

2018-11-19

This is a basic tutorial on how to use POSEIDON and set it up to explore basic fishery problems. I try to cover everything that does not require changing any of the Java code […] This is a simple tutorial on using POSEIDON, a fishery agent-based model. You can read more about this project by reading its main paper or looking at the code repository. This guide will not explain or require any analysis of the java code. I try here to simply show what can be done by just using the graphical user interface and basic text … Read more →

268

Arboles de decision y Random Forest

by Johanna Orellana Alvear - johanna.orellana@ucuenca.edu.ec

2018-11-15

Arboles_de_decision_y_Random_Forest […] “The key to artificial intelligence has always been the representation.” —Jeff Hawkins Aquí los detalles del curso . Aquí los datos que usaremos durante el curso. Breve recapitulación de R (Capítulo 2) Entorno de RStudio y ayuda (0.2 h) Directorios, scripts y librerías (0.3 h) Tipos de datos básicos y compuestos (0.5 h) Lectura y escritura de archivos (0.5 h) Indexación (1 h) Subconjuntos (1 h) Funciones (0.5 h) Arboles de Decisión - parte I Arboles de Decisión - parte II Random Forest - parte I Random Forest - parte … Read more →

269

Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

by Elias T. Krainski, Virgilio Gómez-Rubio, Haakon Bakka, Amanda Lenzi, Daniela Castro-Camilo, Daniel Simpson, Finn Lindgren and Håvard Rue

2018-11-13

Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA […] This book grew out of a tutorial written by Elias T. Krainski, which he started in 2013 together with his PhD-studies at NTNU, Trondheim, Norway. The tutorial has since then been expanded continuously, based on response from the many users and based on new developments. Lindgren, Rue, and Lindström (2011) describe an approximation to continuous spatial models with a Matérn covariance that is based on the solution to a stochastic partial differential equation (SPDE). This approximation is computed … Read more →

270

Notes for ST463/ST683 Linear Models 1

by Katarina Domijan, Catherine Hurley

2018-11-12

These are the notes for ST463/ST683 Linear Models 1 course offered by the Mathematics and Statistics Department at Maynooth University. This module is offered at as a part of of MSc in Data Science and Data Analytics. It is an introductory course for students who have basic background in Statistics, Data analysis, R Programming and linear algebra (matrices). […] There are many good resources, e.g. Weisberg (2005), Fox (2005), Fox (2016), Ramsey and Schafer (2002), Draper and Smith (1966). We will use Minitab and R (R Core Team 2017). To create this document, I am using the bookdown package … Read more →

271

Escritura de libros con bookdown

by Fernández-Casal, R. y Cotos-Yáñez, T.R.

2018-10-28

Este libro es una introducción al paquete bookdown para la escritura de libros (en castellano, galego, …). […] Este libro es una pequeña guía sobre como emplear el paquete bookdown de R para la escritura de libros, incluyendo algunos detalles de configuración para la escritura en otros idiomas distintos del inglés (castellano, galego,…). Este mismo libro ha sido escrito en R-Markdown empleando el paquete bookdown y está disponible en el repositorio Github: rubenfcasal/bookdown_intro. Para generar el libro (compilar) puede ser recomendable instalar la última versión de RStudio y la versión … Read more →

272

Computational Communication Science mit R

by André Calero Valdez

2018-10-18

Dieses Buch befindet sich zur Zeit in Arbeit. […] Dieses Buch soll einen Überblick über Computer-basierte Methoden der Kommunikationswissenschaft verschaffen und in Form eine Lehrbuchs die wichtigsten Inhalte zusammenfassen. Zu allen Themen, die in diesem Buch bearbeitet werden, gibt es bereits besser geeignete Bücher, die die entsprechenden Theorien, Methoden und Techniken detailliert und ausführlich betrachten. An geeigneter Stelle wird auf diese Quellen verwiesen. Die zentrale Idee hinter diesem Buch ist die Vereinheitlichung des Forschungsprozesses und die digitale Unterstützung durch … Read more →

273

New statistics for the design researcher

by Martin Schmettow

2018-10-17

A statistics book for designers, human factors specialists, UX researchers, applied psychologists and everyone else who works hard to make this world a better place. […] This book makes the following assumptions: Chapter @ref(design_research) introduces a framework for quantitative design research. It carves out the basic elements of empirical design research, such as users, designs and performance and links them to typical research problems. Then the idea of design as decision making under uncertainty is developed at the example of two case studies. Chapter @ref(bayesian_statistics) … Read more →

274

Meta-Workflow

by Miao YU

2018-10-15

This is a workflow for metabolomics studies. […] This is an online handout for data analysis in mass spectrometry based metabolomics. It would cover a full reproducible metabolomics workflow for data analysis and important topics related to metabolomics. Here is a list: This is a book written in Bookdown. You could contribute it by a pull request in Github. R and Rstudio are the softwares needed in this … Read more →

275

R 语言分析 LI-6400 和 LI-6800 光合仪的数据

by 祝介东 北京力高泰科技有限公司

2018-10-15

R 语言分析 LI-6400XT 与 LI-6800 数据 […] 在 plantecophys 包中使用的模型为 Farquhar, Caemmerer, and Berry (1980) 建立的 C3 植物模型 FvCB,其基于 C3 植物碳反应的三个阶段: 核酮糖-1,5-双磷酸羧化酶/加氧酶 (Rubisco)的催化下, 核酮糖-1,5-双磷酸(RuBP)与 CO2发生羧化作用, 生成3-磷酸甘油酸(PGA)。 在腺苷三磷酸(ATP)和还原型烟酰胺腺嘌呤 二核苷酸磷酸(NADPH)的作用下, PGA被还原成磷 酸丙糖(TP)。每6个TP中有1个输出到细胞液中, 用 于蔗糖或者淀粉的合成。 剩下的5个TP 在ATP的作用下再生为 3 个RuBP。一部分再生的 RuBP在Rubisco的催化下被氧化成PGA和2-磷酸乙 醇酸, 2-磷酸乙醇酸在ATP的作用下形成PGA, 并且 释放CO2 (光呼吸)。 在光照下, C3 植物净光合速率 (A) … Read more →

276

Ecologische waterkwaliteit Botshol

by lauramoria

2018-10-08

Ecologische waterkwaliteit Botshol […] AGV is als waterbeheerder verantwoordelijk dat de wateren in haar beheergebied voldoen aan de waterkwaliteitsdoelstellingen van de Europese Kaderrichtlijn Water (KRW) en aan doelstellingen die zijn geformuleerd in het Natura2000 beheerplan. Deze richtlijnen hebben als einddoel schoon en gezond water. Met voldoende kranswieren, fonteinkruiden en … Read more →

277

Mastering DFS Analytics

by M. Edward (Ed) Borasky

2018-10-07

Mastering DFS Analytics is a data-driven program to improve your daily fantasy sports results. You’ll learn and much more. Written by an applied mathematician, Mastering DFS Analytics will give you contest-tested tools. In addition to the ebook, you get Comments? Questions? @znmeb_dfs on Twitter Mastering DFS Analytics by M. Edward (Ed) Borasky is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Mastering DFS Analytics on … Read more →

278

毕业论文新手入坑手册

by 王树义

2018-09-26

玉树芝兰科研入门文章合集 […] 公众号后台,最近总有读者输入各种各样的词语,例如“爬虫”、“Python”或者“vosviewer”。我知道许多公众号提供输入关键词,就能调取对应的文章,大家都习惯了。 但非常遗憾,我这个公众号目前只有本人维护。我把注意力集中在了内容创作,着实没有余力优化后台关键词交互等用户体验。 我逐渐发现,随着自己发布的文章越来越多,方便你找到之前的相关文章,成了刚需。 前几天,我被刺激了。因为后台一堆搜索关键词,居然都是“王树义”。 我愣了,这是什么情况? 直到我在《南开管理评论》公众号,发现了这段对话,才恍然大悟。 编辑答复简略。于是许多找文章的读者,就真的跑到我的公众号后台,搜索“王树义 … Read more →

279

Tidy Portfoliomanagement in R

by Sebastian Stöckl

2018-09-21

First try on a book on tidy Portfolio Managment in R. […] This book should accompany my lectures “Research Methods”, “Quantitative Analysis”, “Portoliomanagement and Financial Analysis” and (to a smaller degree) “Empirical Methods in Finance”. In the past years I have been a heavy promoter of the Rmetrics tools for my lectures and research. However, in the last year the development of the project has stagnated due to the tragic death of its founder Prof. Dr. Diethelm Würtz. It therefore happened several times that code from past semesters and lectures has stopped working and no more support … Read more →

280

Lösningar i R till vissa uppgifter från övningskompendierna

by Erik Stenberg

2018-09-17

Lösningar för vissa uppgifter i kursen Statstik A4/A8 […] Detta dokument är till för dig som läser kursen Statistik A4/A8 och är nyfiken på R. Innehållet är tänkt att förena lite nytta (lösa uppgifter) med nöje (lära dig lite R). Det är inte meningen att detta dokument skall fungera som en heltäckande introduktion till programmeringsspråket R. Det finns mängder av väldigt välskrivna guider online som fokuserar mycket mer på hur språket är uppbygt. Lyckligtvis är R väldigt enkelt att komma igång med, och det krävs inte mycket förståelse för själva språket för att göra enkla beräkningar, … Read more →

281

文科生数据科学上手指南

by 王树义

2018-09-16

你大概经常听别人提起,技术的门槛在降低。 数据科学、机器学习、自然语言处理、神经网络、人工智能……一系列的名词让你眼花缭乱,让你对这个时代充满兴奋的感觉。你跃跃欲试,希望自己动手,也能用新技术做出卓有成效的工作。 但是,如果你不是IT专业的学生,特别糟糕的是,你还是一名文科生,那你可能会逐渐发现,技术的世界似乎不那么友好。 你只想对文本提取主题,人家给你写了这么长的公式: 你想做个时间序列的预测,结果人家告诉你,一个处理单元,就有这样的结构: 除了迅速“从入门到放弃”,你还能怎么办? 别急,这不是真相。 真相是,只要你知道如何找到正确的工具包,就可以用短短几行代码,完成从前需要手工干几天的活儿。不信?可以看看我这篇 … Read more →

282

Clustered Data

by Michael Clark m-clark.github.io

2018-09-16

This document provides a brief comparison of various approaches to dealing with clustered data situations. […] … Read more →

283

Graphical & Latent Variable Modeling

by Michael Clark m-clark.github.io

2018-09-15

This document focuses on structural equation modeling. It is conceptually based, and tries to generalize beyond the standard SEM treatment. It includes special emphasis on the lavaan package. Topics include: graphical models, including path analysis, bayesian networks, and network analysis, mediation, moderation, latent variable models, including principal components analysis and ‘factor analysis’, measurement models, structural equation models, mixture models, growth curves, item response theory, Bayesian nonparametric techniques, latent dirichlet allocation, and more. Read more →

284

R 语言入门,给一心只有学习的你

by Chris Qi from Data Maniac

2018-09-09

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] 想直接上手的同学,可以跳过这一部分,从安装软件开始。如果软件已经安装了,可以跳到第二章。对于喜欢把书从头读到未的同学,欢迎从这里开始。 看到这个题目,你以为我会跟你絮絮叨叨讲一个软件的发展史?这种东西听一耳朵就可以了,写出来都浪费纸墨,噢,这是电子书,不用纸也不用墨,但是打字也费劲儿呀。所以在这里,我就做个大概介绍吧: R是一门用于统计计算和作图的语言,由S语言发展而来,以统计分析功能见长。 R 是新西兰的罗斯.伊哈卡 (Ross Ihaka)和罗伯特.金特尔曼(Robert … Read more →

285

An Introduction to Text Processing and Analysis with R

by Michael Clark m-clark.github.io

2018-09-09
An Introduction to Text Processing and Analysis with R

This document covers a wide range of topics, including how to process text generally, and demonstrations of sentiment analysis, parts-of-speech tagging, word embeddings, and topic modeling. Exercises are provided for some topics. […] … Read more →

286

IsoriX: Isoscape Computation and Inference of Spatial Origins using R

by The IsoriX core Team

2018-09-07

This book is the official documentation for the R package IsoriX. […] This new documentation of the R package IsoriX which aims at replacing the former vignettes and will ultimately provide much more information than before. The chapters 1 to 5 are almost complete but you will have to wait for the other chapters to follow. … Read more →

287

Cod Prediction

by Liam

2018-09-06

关于货到付款支付方式的客户的拒收预测 […] 货到付款是一种是一种非常受用户青睐的支付方式,对于客户而言,货到付款更加安全,特别是对于一些电商不发达的的确,货到付款能够有效的打消用户对于网购的不信任。 对于商家而言,货到付款这种支付方式不利于现金的流动,并且,有一部分人会在货到了之后不付款,也就是拒收。拒收的原因很多,很简单的就是不想要了。 一般而言,货到付款的拒收率可以高达20%,这将造成很大的运营成本。因此,本文利用机器学习的方法,对用户是否回拒收进行预测。 … Read more →

288

Data Visualization with R

by Rob Kabacoff

2018-09-03
Data Visualization with R

A guide to creating modern data visualizations with R. Starting with data preparation, topics include how to create effective univariate, bivariate, and multivariate graphs. In addition specialized graphs including geographic maps, the display of change over time, flow diagrams, interactive graphs, and graphs that help with the interpret statistical models are included. Focus is on the 45 most popular graph types. The guide also includes detailed instructions on how to customizing graphs, and ends with a chapter on graphing best practices. Although strongly based on the ggplot2 package, other approaches are included as well. Read more →

289

An Introduction to R and LaTeX

by Yuleng Zeng

2018-08-28

An introduction to R for political scientists. […] This is an introduction to R and Latex. In compiling this documents, several sources have been consulted, including Tim Peterson’s website, Havard’s Math Prefresher, and the course offered by DataCamp. Make sure that you have a laptop throughout this introduction. Install the following applications, if you haven’t done so. Finally, this document is to be used in-class only. As I (will) mention several times, it borrows and merges a lot of resources online. Also, if you see any mistakes or have suggestions, please do shoot me an … Read more →

290

R para principiantes

by Juan Bosco Mendoza Vega

2018-08-27
R para principiantes

Un libro introductorio a R, dirigido a personas sin experiencia previa con lenguajes de programación. […] Propósito del libro R para principiantes pretende ser un materal introductorio al lenguaje de programación R, dirigído a personas que nunca han usado R o ningún otro lenguaje de programación, ni tiene conocimiento previo de probabilidad y estadística. Este libro tiene como propósito que adquieras los fundamentos del uso de R como un lenguaje de programación, desde sus conceptos más elementales, hasta la definición de funciones y generación de gráficos. No son objetivos de este libro que … Read more →

291

Basic Social Justice Orientations scale testing

by Cristóbal Moya

2018-08-24

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] The original publication has three tables where ALLBUS-2014 is used: The following analysis are focused on the first two tables (Table 15 and Table 8), because they contain the main resutls regarding this data source and the table from supplementary materials should not matter as long as factor loadings in Table 8 are correct. The descriptive statistics of the eight items displayed in Table 15 of the original article are reproduced from the article’s website … Read more →

292

TensorFlow 学习笔记

by Leo Van | 范叶亮

2018-08-19

TensorFlow 学习笔记 […] 本作品是针对 Tensorflow 深度学习框架的学习笔记,参考的相关资料包括: 本作品使用 R 语言的 Bookdown 扩展包构建,在线版本托管在 https://bookdown.org/leovan/TensorFlow-Learning-Notes ,离线版本请访问托管网站下载。 本作品中使用的部分图标来自 Papirus 图标集。 本作品编译的 PDF 采用 Chapman & Hall 出版社提供的 LaTeX 模板 krantz.cls,英文衬线字体采用 Alegreya,英文无衬线字体采用 Helvetica,中文衬线字体采用 Source Han Serif SC,中文无衬线字体采用 Source Han Sans SC,中文斜体字体采用 Kaiti SC,中英文等宽字体采用 Sarasa Mono SC,数学公式字体采用 Latin Modern Math。 本作品采用 … Read more →

293

Introducción a estadística con R

by Matias Andina

2018-08-15

Este libro introduce conceptos de estadística utilizando R. Está principalmente orientado a estudiantes que deseen aplicar e incrementar sus conocimientos estadísticos usando un lenguaje de programación. Sin embargo, aquellos usuarios que tengan algo de experiencia con R y quieran aventurarse a aumentar sus conocimientos estadísticos pueden encontrar utilidad en los capítulos más avanzados. […] R es quizás el lenguaje más desarrollado para realizar análisis exploratorios de datos y estadística. Debido a que posee una naturaleza dinámica, gratuita, open-source, y una comunidad que trabaja … Read more →

294

R语言忍者秘笈

by 谢益辉, 肖楠, 坑主三, 坑主四

2018-08-10
R语言忍者秘笈

本书要写什么其实我也不太清楚。迷迷瞪瞪中,感觉写一些奇门遁甲之术会比较有趣吧,算是程序猿/媛的自娱自乐了,如果在自娱自乐之外,读者能学到一些有用的技能,那就更好了。 […] R语言 (R Core Team 2018) 是由统计学家发明的一门程序语言,这个特殊的背景让这门语言在计算机专业人士眼中看起来也许很奇怪:语法松散、数据结构不严谨、充斥着黑魔法,等等。如果能结合数据分析的背景去看待它,就会发现它还是有很多精妙之处的。 学一门语言不可能通过两天时间把语法看完了事就行,必须得实战练习:一来巩固语法,二来增加经验值。本书根据统计之都论坛(http://cos.name/cn/)六年中近六千帖子和三万回帖整理并加入作者的个人经验而写成。我们找的有这样几种帖子: … Read more →

295

recoding Introduction to Mediation, Moderation, and Conditional Process Analysis

by A Solomon Kurz

2018-07-30

This project is an effort to connect his Hayes’s conditional process analysis work with the Bayesian paradigm. Herein I refit his models with my favorite R package for Bayesian regression, Bürkner’s brms. I use syntax based on sensibilities from the tidyverse and plot with Wickham’s ggplot2. […] Andrew Hayes’s Introduction to Mediation, Moderation, and Conditional Process Analysis text, the second edition of which just came out, has become a staple in social science graduate education. Both editions of his text have been from a frequentist OLS perspective. This project is an effort to … Read more →

296

Bayesian Basics

by Michael Clark

2018-07-30
Bayesian Basics

This document provides an introduction to Bayesian data analysis. It is conceptual in nature, but uses the probabilistic programming language Stan for demonstration (and its implementation in R via rstan). From elementary examples, guidance is provided for data preparation, efficient modeling, diagnostics, and more. […] … Read more →

297

Field Epidemiology with R

by Tomás J. Aragón

2018-07-18

A book example for a Chapman & Hall book. […] The document format “R Markdown” was first introduced in the knitr package (Xie, 2015, 2018) in early 2012. The idea was to embed code chunks (of R or other languages) in Markdown documents. In fact, knitr supported several authoring languages from the beginning in addition to Markdown, including LaTeX, HTML, AsciiDoc, reStructuredText, and Textile. Looking back over the five years, it seems to be fair to say that Markdown has become the most popular document format, which is what we expected. The simplicity of Markdown clearly stands out among … Read more →

298

A short course on Survival Analysis applied to the Financial Industry

by Marta Sestelo

2018-07-17

This is a short course on survival analysis applied to the financial field. […] This book is designed to provide a guide for a short course on survival analysis. It is mainly focussed on applying the stastical tecnquines developed in the survival field to the financial industry. The emphasis is placed in understanding the methods, building intuition about when aplying each of them and showing their application through the use of statistical … Read more →

299

Advanced Statistical Computing

by Roger D. Peng

2018-07-17

The book covers material taught in the Johns Hopkins Biostatistics Advanced Statistical Computing course. I taught this course off and on from 2003–2016 to upper level PhD students in Biostatistics. The course ran for 8 weeks each year, which is a fairly compressed schedule for material of this nature. Because of the short time frame, I felt the need to present material in a manner that assumed that students would often be using others’ software to implement these algorithms but that they would need to know what was going on underneath. In particular, should something go wrong with one of … Read more →

300

Understanding Work With Data in Summer STEM Programs Through An Experience Sampling Method Approach

by Joshua M. Rosenberg

2018-07-16

This is Joshua Rosenberg’s dissertation […] Data-rich activities provide an opportunity to develop core competencies in both science and mathematics identified in curricular standards. Perhaps even more importantly work with data puts learners in the position to use data to ask and answer questions, a potentially empowering capability. Research on work with data has focused on cognitive outcomes and the development of specific practices at the student and classroom levels, and yet, little research has considered learners’ engagement. The present study explores learners engagement in work … Read more →

301

Introducción a la Computación con GPUs usando R

by Ronald Gualán Saavedra

2018-07-14

Revisión de conceptos clave sobre la computación GPGPU, y algunos ejemplos simples de uso de librerías aceleradas por GPU […] Las GPU (Graphics Processing Units; Unidades de Procesamiento de Gráficos) son unidades de procesamiento diseñadas originalmente para procesar gráficos en una computadora rápidamente. Esto se hace teniendo una gran cantidad de unidades de procesamiento simples para cálculos masivamente paralelos. La idea de la computación de propósito general en GPU (GPGPU: general purpose GPU computing) es explotar esta capacidad para el cálculo general. En este tutorial se revisará … Read more →

302

HPC con R para Investigadores

by Johanna Orellana Alvear - johanna.orellana@ucuenca.edu.ec

2018-07-13

HPC con R para Investigadores […] “Programmers waste enormous amounts of time thinking about, or worrying about, the speed of noncritical parts of their programs, and these attempts at efficiency actually have a strong negative impact when debugging and maintenance are considered.” — Donald Knuth. Optimizar código para hacerlo más rápido es un proceso … Read more →

303

Macroeconomics

by Mau-Ting Lin

2018-06-19

This is a collection of the discussion lists from Macroeconomics. […] The theory contents will follow 1 closely. Item 2 is for data visualization. And item 3 is for general discussion regarding world news. https://goo.gl/kbQwP5 Class participation and quizzes: 10% Midterm Exam: 30% Final Exam: 30% Others Rhttp://www.r-project.org/ RStudiohttp://rstudio.org/ Github desktophttps://desktop.github.com/ … Read more →

304

Data Visualization Project

by Chiayi Yen

2018-06-17

Data Visualization Project […] This study aims at investigating how the change of information dissemination process would affect the window-dressing behaviors of mutual fund managers. By convention, window-dressing is defined as the portfolio manipulations right before the quarter-end date, when all the fund managers are required to disclosure their holding firms of that date. Over the past decades, technological progresses largely change the way how information disseminates, and these further influence the information flow of capital markets. For example, the implementation of “Electronic … Read more →

305

«Two Lives» by Concordia Antarova

by gorodnichy

2018-06-17

«Two Lives» by Concordia Antarova: text translation and analysis […] This work presents the working draft of the English translation of the “The Lives” book by Concordia Antarova. Widely known in Russian speaking spheres, and translated into French, this book remains to be largely unknown to English speaking population, despite its significant spiritual importance, comparable to that of “Book of Joy”. While the efforts on translating this book into English continue, here the draft of it is used for Artificial Intelligence (AI) projects, aiming at building the systems for automated analysis … Read more →

306

«Кубатура Шара»

by Андрей Городничий

2018-06-17

Poetry of Andrey Gorodnichy […] Версия для печати: PDF, EPUB. Online: https://bookdown.org/gorodnichy/andre. … Read more →

307

Foundations of Statistics with R

by Darrin Speegle

2018-06-10

This book is written for the purposes of teaching STAT 3850 at Saint Louis University. […] This is a book on probability and statistics suitable for the sophomore or junior level at university. We assume knowledge of calculus at the level of Calculus II. We do not assume prior experience with statistics or programming, though students who have no experience with either statistics or programming before starting this class should expect to have to work hard. We will be using R as an integral part of the exposition — you should not read this book without first getting R Studio installed. We … Read more →

308

Thucydides the Neorealist?

by J.W.Biggs

2018-06-02

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] Thucydides has long been viewed as an early exemplar of realist thinking in International Relations Theory. More recently, neorealist authors have claimed that Thucydides’ History offers insights into the importance of the anarchy in shaping interstate relations, and should be recognised as a neorealist. This neorealist appropriation has met substantial criticism and many revisionist scholars have urged a re-examining of Thucydides. This dissertation serves … Read more →

309

圖書推薦系統

by 林凱浩

2018-06-01

碩士論文 […] 電子書網址: Github repo:https://github.com/tpemartin/thesis-book-recommendation bookdown使用者說明 LyX 註冊RSconnect bookdown::publish_book()或bookdown::publish_book(account=“帳戶名”) … Read more →

310

通識課程推薦系統

by 蔡國梁

2018-06-01

碩士論文 […] 電子書網址: Github repo:https://github.com/tpemartin/thesis-GE-recommendation bookdown使用者說明 LyX 註冊RSconnect bookdown::publish_book()或bookdown::publish_book(account=“帳戶名”) … Read more →

311

網頁外掛功能:GA,Share,Comments

by 國立臺北大學經濟學系-經濟時事與多媒體出版

2018-05-17

迷你課程 […] 電子書網址:https://bookdown.org/tpemartin/minicourse-webplugins/ 首先你必需: 在Atom: 點privacypolicy.html 將以下兩個訊息換成你的訊息 https://your_website_url your_email … Read more →

312

Hello Py: Python 程式設計

by Pyradise

2018-05-14

Pyradise 是專注於 Python 教學的團隊,致力於分享學習經驗,推廣資料科學,人工智慧,讓更多人能參與到這波資訊與人工智慧的學習浪潮。 專注於技術,熱衷於教學的開發者,希望透過教學,傳遞出更多想法的帽子哥。 資料科學與推廣教育的愛好者,閒暇時喜歡長跑與乒乓球;是 2017 iT邦幫忙鐵人賽 Big Data 組冠軍。 前端工程師與設計師。 … Read more →

313

Introduction to Digital Currency

by J.W.Biggs

2018-05-12

A summary of research conducted hitherto. […] This is research I have conducted for personal use. Using the bookdown package has enabled me to piece together my research in a quick and neat manner. I have tried to convey complex terms as simply as possible utilizing visual examples where I can. Constructive criticism is welcomed - I will regularly be updating this … Read more →

314

認識 R 的美好

by 郭耀仁

2018-05-12

是郭耀仁,資料科學與推廣教育的愛好者,喜歡使用 R 語言與 Python 做資料科學應用,在台大資工系統訓練班開設多門 R 語言與 Python 的相關課程,亦與企業合作提供客製化的內訓課程;同時也是一個超棒的中文資料科學專欄 DataInPoint 的主編;這個專欄與波士頓的資料科學教學團隊 DataCamp 有行銷合作(Affiliate Marketing)。 如果您有 R 語言、Python、資料科學、教學、專案或顧問的需求,可以 email 與我聯絡:tonykuoyj@gmail.com R 語言是一個高階的統計程式語言,她在 2017 IEEE 調查中排名位於第 6 名,1是以資料分析為主要目的程式語言中的最高位。其他熟為人知的像是 Matlab 排名在第 15 名、SQL 排名在第 23 名、 Julia … Read more →

315

R for Social Scientists

by Paul C. Bauer, Rudolf Farys

2018-05-10

Script for a an R course at the European University Institute. … Read more →

316

Meu log de leitura de R for Data Science

by Marcos V. C. Vital - LEQ-UFAL

2018-05-01

Meu log de leitura de R for Data Science […] Se tem alguma pessoa que pode ser considerada um “pop star” do R, seria o Hadley Wickham: o cara é responsável pelo ggplot2 e pelo dplyr, que são alguns dos pacotes mais populares do R! Mas são justamente pacotes que eu quase não uso… :( Deixe eu explicar melhor. Eu sou usuário do R há muitos anos (fiz as contas de cabeça enquanto eu escrevo, e se não me enganei, agora em 2018 seriam uns 13 ou 14 anos!), então já tem um bocado de tempo que aprendi a como resolver (e ensinar) algumas coisas. Até aí tudo bem. Acontece que o Hadley trouxe uma … Read more →

317

Lecture Notes voor Business Process Management (3637)

by B. Depaire

2018-04-25

Dit zijn de lecture notes van het opleidingsonderdeel Business Process Management […] Dit document bevatten de lecture notes voor het opleidingsonderdeel Business Process Management (3637), gedoceerd aan de Universiteit Hasselt. Deze lecture notes dienen ter ondersteuning van de colleges en bevatten zowel een “bullet-point” samenvatting van de voornaamste topics alsook een verzameling van bronnen voor verdere verdieping in de … Read more →

318

ggplot2 介紹

by 林茂廷老師

2018-04-21

ggplot2 介紹 […] hypothes.is: https://hypothes.is/groups/eBBqEGde/minicourse-ggplot2 要在hypothes.is貼上程式碼時,請依下例張貼: ggplot2 cheatsheet Computing for the Social Sciences, U.Chicago. ggplot2part of the … Read more →

319

Brief introduction to Statistic

by Daxue Consulting

2018-04-20

Brief introduction to Statistic […] Many statistical quantities derived from data samples are found to follow the Chi-squared distribution. Hence we can use it to test whether a population fits a particular theoretical probability distribution. In this section, we consider a multinomial experiment with k outcomes that correspond to categories of a single qualitative variable. The results of such an experiment are summarized in a one-way table. The term one-way is used because only one variable is classified. Typically, we want to make inferences about the true proportions that occur in the … Read more →

320

Lösningar i R till vissa uppgifter från övningskompendierna (samt lite annat kul)

by Erik Stenberg

2018-04-19

Lösningar för vissa uppgifter i kursen Statstik A4/A8 […] Detta dokument är till för dig som läser kursen Statistik A4/A8 och är nyfiken på R. Innehållet är tänkt att förena lite nytta (lösa uppgifter) med nöje (lära dig lite R). Det är inte meningen att detta dokument skall fungera som en heltäckande introduktion till programmeringsspråket R. Det finns mängder av väldigt välskrivna guider online som fokuserar mycket mer på hur språket är uppbygt. Lyckligtvis är R väldigt enkelt att komma igång med, och det krävs inte mycket förståelse för själva språket för att göra enkla beräkningar, … Read more →

321

Lecture Notes voor Exploratieve en Descriptieve Data Analyse

by B. Depaire

2018-04-16

Dit zijn de lecture notes van het opleidingsonderdeel Exploratieve en Descriptieve Data Analyse […] Dit boek bevat de lecture notes voor de cursus “Exploratieve en Descriptieve Data Analyse” (1ste Ba Handelsingenieur/Handelsingenieur in de Beleidsinformatica) aan de Universiteit Hasselt. Het idee van dit document is een begeleidende tekst aan te reiken ter ondersteuning van de slide-decks die gebruikt worden tijdens de hoorcolleges. Deze tekst is “bullet-point” gewijs opgebouwd en helpt het verhaal dat tijdens het hoorcollege wordt verteld terug op te roepen. Daarnaast zal er per hoofdstuk … Read more →

322

统计学习方法 – 基于R的算法实现

by lcrfromfzu@qq.com

2018-04-08

This is a minimal book created by using the bookdown package. The output format for this little book is bookdown::gitbook. […] 本文档的发布依赖于bookdown包, 对作者表示感谢! 文档所写R代码的依据算法来源于统计学习方法(李航著), 对作者表示感谢! 文档章节内容具体包括: … Read more →

323

網頁入門

by 林茂廷老師

2018-04-05

網頁入門 […] 語法查詢: … Read more →

324

useR! Machine Learning Tutorial

by Erin LeDell

2018-04-05

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive. […] useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive This tutorial contains training modules for six popular supervised machine learning methods: Here are some practical, related topics we will cover for each algorithm: Instructions for how to install the necessary software for this tutorial is available here. Data for the tutorial can be downloaded… Certain algorithms don’t scale well when there are millions of features. For example, decision trees require computing some sort of metric (to determine the splits) on all … Read more →

325

Noções de Inferência no R

by Thalita do Bem Mattos

2018-03-28

Esta apostila é uma ferramenta de apoio às aulas teóricas de ME319-Noções de Inferência. […] O objetivo desta apostila é apresentar os conceitos de inferência ministrados em sala de aula na disciplina ME319 - Noções de Inferência de uma forma prática e intuitiva utilizando recursos computacionais como o software R. ME319 - Noções de Inferência - IMECC/UNICAMP Após fazer a instalação do R vamos instalar o RStudio. O RStudio é uma nova interface para o R com diversas propriedade que facilita o uso do … Read more →

326

Novel methods for dose–response meta-analysis

by Alessio Crippa

2018-03-06

Novel methods for dose–response meta-analysis […] A single experiment can hardly provide a definitive answer to a scientific question. Science is oftentimes referred to as a cumulative process where results from many studies, aiming to address a common question of interest, contribute to create and update the scientific evidence. In the cumulative paradigm, meta-analysis is the statistical methodology to combine and compare the current evidence in the field. This process lies at the heart of the concept of evidence-based medicine and plays a major role in policy and decision making. … Read more →

327

An R Platform for Social Scientists

by Burak AYDIN, James ALGINA, Walter LEITE, Hakan ATILGAN

2018-02-27
An R Platform for Social Scientists

R book for social scientists […] The online version of this platform is licensed under the CC0 by Burak AYDIN. We aim to create a platform for the applied social scientists in which we can demonstrate basic statistical procedures using R (R Core Team 2016b) and real data. We prefer to name this material as a platform given that (a) it is open for contribution, (b) it will have dynamic content and © it can serve as a mainboard for Plug-ins and Add-ons . This R material is created with Bookdown (Xie 2016), an advanced system constructed on R Markdown (Allaire et al. 2016) and the R … Read more →

328

Sosyal Bilimler R Platformu

by Burak AYDIN, James ALGINA, Walter LEITE, Hakan ATILGAN

2018-02-27
Sosyal Bilimler R Platformu

Sosyal Bilimler R Platformu […] Bu platformun hakları korunmuştur CC0 by Burak AYDIN. Bu materyal İngilizce olarak hazırlanıp Türkçeye çevirilmiştir. Bu platform sosyal bilimler alanında çalışan ve nicel veri analizlerinin teoriden ziyade uygulama aşamasına ilgi gösteren araştırmacılar için oluşturulmuştur. Bütün istatistiksel prosedürler R (R Core Team 2016b) ile yürütülmüş, gerçek veri kullanımına özen gösterilmiştir. Bu materyale platform denilmesinin üç sebebi vardır, (a) katkıya açıktır,(b) dinamik bir içeriğe sahiptir, © bilgisayar anakartı gibi kullanılabilir, R ile oluşturulmuş … Read more →

329

Numerical Analysis: Notes

by Brynjólfur Gauti Jónsson

2018-02-23

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] This is a collection of my notes and algorithms from a course on Numerical Analysis at the University of Iceland. The book used in the course was Numerical Analysis by Timothy … Read more →

330

The Final War

by Beckett Stephens

2018-02-19
The Final War

My book about adventures in a video game named Minecraft. […] This book is about my adventures in a video game named … Read more →

331

YaRrr! The Pirate’s Guide to R

by Nathaniel D. Phillips

2018-01-22
YaRrr! The Pirate’s Guide to R

An introductory book to R written by, and for, R pirates […] The purpose of this book is to help you learn R from the … Read more →

332

Lab notes for Statistics for Social Sciences II: Multivariate Techniques

by Eduardo García Portugués

2018-01-20

Lab notes for Statistics for Social Sciences II: Multivariate Techniques […] Welcome to the lab notes for Statistics for Social Sciences II: Multivariate Techniques. Along these notes we will see how to effectively implement the statistical methods presented in the lectures. The exposition we will follow is based on learning by analyzing datasets and real-case studies, always with the help of statistical software. While doing so, we will illustrate the key insights of some multivariate techniques and the adequate use of advanced statistical software. Be advised that these notes are neither … Read more →

333

Estimacdiión en dominios pequeños

by Grupo SAE - USTA

2018-01-12

Estedd lidbro plantea una introducción a la estimación de áreas pequeñas con el software R. […] Este libro plantea una introducción a la estimación de áreas pequeñas con el software R. xxxx vv zz second commit in Github This is a sample book written in Markdown. You can use anything that Pandoc’s Markdown supports, e.g., a math equation (a^2 + b^2 = c^2). For now, you have to install the development versions of bookdown from Github: Remember each Rmd file contains one and only one chapter, and a chapter is defined by the first-level heading #. To compile this example to PDF, you need to … Read more →

334

高中生的未來事件簿

by tpemartin

2018-01-10

高中生的未來事件簿 […] 大學是介於出社會以及在課堂學習的重要期間,有很多最悸動人心故事發生在這時候,奔逸而鮮豔,比起高中多了些許成熟,比起大人又看似稚嫩。雖每個人進到大學的目的不同,但總歸在追求真理的路上。未來個性將奔放如驕陽抑或凝靜如冷池;思考將高瞻遠矚抑或目光如寸;信念將真摯誠實抑或厚顏無恥,先是家庭給你的教育再來是你在大學對自己的訓練。 我們帶你從各個觀點切入核心“將自己成為比昨天更好的人”希望對你有些許的幫助,我們只是野路上的螢火,無法指引更遠的道路,但你求知求真求善的心,才是皎潔的月光,照射整片原野,螢火起能與日月爭輝? 歡迎你來到這個網站,誠摯邀請你閱讀我們的作品。 … Read more →

335

Financial Engineering Analytics: A Practice Manual Using R

by William G. Foote

2018-01-09

This book explores the fundamentals of financial analytics using R and various topics from finance. […] Science alone of all the subjects contains within itself the lesson of the danger of belief in the infallibility of the greatest teachers of the preceding generation. - Richard Feynman This book is designed to provide students, analysts, and practitioners (the collective “we” and “us”) with approaches to analyze various types of financial data sets, and to make meaningful decisions based on statistics obtained from the data. The book covers various areas in the financial industry, from … Read more →

336

R och Demoskop

by Filip Wastberg

2018-01-09

Det här är ett dokument för att komma igång med R på Demoskop […] Det här är ett dokument om R på Demoskop. R är ett programmeringsspråk för statistisk analys. På Demoskop används R i huvudsak som ett komplement till den programmering som vi gör SAS och SPSS. Det här dokumentet är anpassat efter våra arbetssätt på Demoskop. Några generella förkunskaper behövs inte. Däremot så rekommenderar vi att du efter att du gjort installationen gör den här kursen på datacamp.com. Det är enkel introduktion till R och några paket som underlättar arbetsflödet. Datacamp är en bra hemsida för att lära sig … Read more →

337

Github 介紹

by 林茂廷老師

2017-12-30

Github 介紹 […] 這裡我們用非程式設計者懂的說法來解釋,故不符合它們原始的完整定義。 Github.com: 一個【雲端空間】讓你儲存備份用 Github Desktop: 安裝在你電腦上的【備份小精靈】,透過他,你可以選擇將某個資料匣裡的東西備份在自己電腦,或進一步備份在Github.com雲端空間。 我們先假設你已經在Github.com(以下簡稱.com)註冊了一個帳號,也在你電腦安裝了Github Desktop(以下簡稱Desktop),並把Desktop設定好可以和你的.com帳號連結。 … Read more →

338

Functional programming and unit testing for data munging with R

by Bruno Rodrigues

2017-12-28

This book is an introduction to functional programming and unit testing with the R programming language, for the purpose of data muning […] This book is still being written, some chapters are not finished yet, and there might be (there are) some typos. Don’t hesitate to write to me if you notice something weird. You can purchase a digital copy of this book at leanpub. The version on Leanpub will not always be up-to-date, I only update it when I made very big changes (new chapters, etc). But once this book will be finished, both version are going to be the same. This book serves to show how … Read more →

339

R Markdown 介紹

by 林茂廷老師

2017-12-27

dplyr 介紹 […] 一個標準化的純文字語法(syntax),用來表達豐富的排版意境。 Wiki範例 本身不會產生word, html或pdf檔,而是透過其他應用程式,如pandoc,來進一步生成相關文件格式。 … Read more →

340

dplyr 介紹

by 林茂廷老師

2017-12-22

dplyr 介紹 […] … Read more →

341

IRT (GMMSGE01): Parametric IRT (dichotomous data)

by Jorge N. Tendeiro

2017-12-13

IRT (GMMSGE01): Parametric IRT (dichotomous data) […] Parametric item response theory (IRT) provides a theoretical framework that allows modeling the relationship [\text{item} \longleftrightarrow \text{person}] by means of a mathematical function: [P(X_i = c|\theta_n) = f(\theta_n)] (X_i) is the random variable denoting the answer to item (i), with discrete response categories; (\theta_n=) (n^\text{th}) person’s trait parameter. This is the item response function (IRF). The IRF is therefore a function relating the latent trait to the probability of answering the item correctly. … Read more →

342

Economic Forum

by Mau-Ting Lin

2017-12-13

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. … Read more →

343

Shiny (I)

by 林茂廷老師

2017-12-13

Shiny (I) … Read more →

344

Simulation And The James-Stein Estimator In R

by Alex Hallam

2017-11-07

Simple Simulation and the James-Stein Estimator […] This is the website for “Simulation And The James-Stein Estimator In R”. This technical document is short, covering some common ways to generate data and exploring the James-Stein Estimator. This will teach you how to do run simulations to observe the properties of the James-Stein Estimator in R — specifically using the tidyverse: You’ll learn how to generate data to prove theoretical results. In the computer age of statistics the data scientist has the power of machines to run simulations for testing a methods before putting a method into … Read more →

345

Data visualization

by Mau-Ting Lin

2017-11-06

This is a collection of data visualization handouts from Macroeconomics. … Read more →

346

Muestreo y análisis de estudios educacionales con R

by Andrés Gutiérrez

2017-11-05

Este es el repositorio del libro Diseño y análisis de estudios educacionales. […] Las fórmulas computacionales requeridas para estimar la varianza de estadísticas descriptivas como la media muestral están disponibles para algunos diseños complejos que incorporan elementos como la estratificación y el muestreo por conglomerados. Sin embargo, en el caso de estadísticas analíticas más complejas, tales como coeficientes de correlación y coeficientes de regresión, no se encuentra fácilmente las fórmulas específicas en diseños muestrales que se aparten del muestreo aleatorio simple. … Read more →

347

Selected Solutions to R4DS Exercises

by Chunji Wang

2017-11-03

This book provides selected solutions to the exercises in the wonderful book R for Data Science by Wickham Hadley. […] This is the website for “Selected Solutions to R4DS Exercises”. This is a joint advanture between Chunji Wang, Ron, Luna, Zhiyin, Chengcheng…. We started the “R4DS Study Club” on Sep 22nd, 2017; If you want to join us, please contact us! The chapter labels in this book is the same as the original R4DS book; go to the corresponding chapter for solutions. You might need to read the beginning of the chapter to load some packages or create some variables that are … Read more →

348

R bookdownplus Textbook

by Peng Zhao

2017-11-01

A tutorial to R bookdownplus, an extension of R bookdown package. This books shows helps you write academic journal articles, guitar books, chemical equations, mails, calendars, and diaries, on the basis of R bookdown. […] A book titled R bookdownplus Textbook is surely talking about ‘bookdownplus’ (Zhao 2017b), but let’s start with ‘bookdown’ (Xie 2016). ‘bookdown’ is a software package for writing books or documents based on R language (R Core Team 2016) and Markdown syntax. It is something like Microsoft Word, but more elegant, more powerful, and … Read more →

349

Guide til klinikophold

by Søren O’Neill

2017-11-01

Denne side tjener som vejledning og inspiration til supervisorer og studerende på den præ-graduate, kliniske uddannelse på klinisk biomekanik. […] På disse sider finder du vejledning til de præ-graduate kliniskeophold for kiropraktor-studerende (stud. kand.manu) De præ-graduate klinikophold er opdelt som illustreret herover; med et præ-klinisk kursus på SDU efterfulgt af en ‘clinic-entrance’ eksamen, et længere ophold på rygcenter og 2 mindre ophold i andre regi. Teksten er opdelt i to hovedsektioner – én som primært er skrevet med supervisorerne for øje og én for studerende. Begge … Read more →

350

Applications of Multivariate Analysis in Business

by Ed Anderson

2017-10-29

This document describes the concept of Mass Customisation as it applies to Business Analytics and provides case study implementations of R Studio […] It has been great being part of the Analytical Community the last few years. The excitement is everywhere about “big-data”,“data-science”,“MOOCs”. The talent being attracted into Analytics is awe inspiring.One current trend is ‘a shift from a desire to work for bigger name brand companies like Facebook or Google, to more mission-driven organizations attempting to make an impact on society. Whether it is curing cancer, conserving energy, … Read more →

351

ABJ Syllabus

by Associação Brasileira de Jurimetria

2017-10-23

A track of papers we read and papers we collect to read in future. […] Para que o seu bookdown funcione tanto na web quanto no pdf, você deve evitar usar marcadores que dependem do contexto. Para fazer citações você deve usar (Weinstein 1997) ou Weinstein (1997). Isso também funciona pra pacotes (R Core Team 2017) ou R Core Team (2017). Para criar uma figura, é preferível que você use o print padrão do knitr. A label do gráfico será fig:label-do-chunk. Você pode citar fazendo 1.1. Se você precisar importar uma imagem de fora do R, é melhor que você faça ![](), a despeito do que diz o Yihui. … Read more →

352

Studieren und Forschen mit dem Internet

by Peter Baumgartner, Sabine Payr

2017-10-16

Arbeitsprozesse und Werkzeuge des wissenschaftlichen Arbeitens. Gekürzte Ausgabe aus 2001, aber viele Inhalte noch aktuell. […] Studieren und Forschen mit dem Internet von Peter Baumgartner & Sabine Payr ist lizenziert unter einer Creative Commons Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International Lizenz.Über diese Lizenz hinausgehende Erlaubnisse können Sie unter http://peter.baumgartner.name/kontakt erhalten. Studieren und Forschen mit dem Internet ist 2001 beim StudienVerlag herausgekommen und heute vergriffen. Restexemplare können nach wie vor gebraucht über Amazon … Read more →

353

Mastering Software Development in R

by Roger D. Peng, Sean Kross, and Brooke Anderson

2017-09-21
Mastering Software Development in R

The book covers R software development for building data science tools. As the field of data science evolves, it has become clear that software development skills are essential for producing useful data science results and products. You will obtain rigorous training in the R language, including the skills for handling complex data, building R packages and developing custom data visualizations. You will learn modern software development practices to build tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers. Read more →

354

Course Notes for IS 6489, Statistics and Predictive Analytics

by Jeff Webb

2017-09-03

Course notes for IS 6489. […] These are the course notes for IS 6489, Statistics and Predictive Analytics, offered through the Information Systems (IS) department in the University of Utah’s David Eccles School of Business. This is an exciting time for data analysis! The field has undergone a revolution in the last 15 years with increases in computing power and the availability of “big data” from web-based systems of data collection. “Data science” is the umbrella term that describes the result of this revolution—a new discipline at the intersection of many traditional fields such as … Read more →

355

Lokal lagring og bruk av sensitive data

by Are Edvardsen, SKDE

2017-08-31
Lokal lagring og bruk av sensitive data

Veiledning i installasjon og bruk av VeraCrypt for sikker lagring og sletting av data ved Senter for klinisk dokumentajson og evaluering (SKDE), Helse Nord RHF. […] Analyse av sensitive og tidsavgrensede data inngår som en del av de praktiske oppgaven SKDE har. Egenskapene til slike data vil typisk være at de kun skal nås av en begrenset og definert gruppe av brukere samt at de effektivt må kunne slettes ved gyldighetsperiodens utløp. Dette gir noen spesielle utfordringer når brukere samtidig skal kunne arbeide effektiv og dele slike data seg imellom. Typisk for analysevirksomhet er også at … Read more →

356

Probability and Statistics

by Rob Carroll

2017-08-28

These are the lecture notes for POS 5737, the introductory probability and statistics class in the graduate program in political science at Florida State University. […] These are the notes for POS 5737, taught in the Department of Political Science at Florida State University. They freely borrow from several well-known textbooks, including those by Wackerly, Mendenhall, and Scheaffer (2008), DeGroot and Schervish (2012), and Casella and Berger (2002). They also borrow from my own notes as a graduate student when I was taught by Kevin Clarke. Kevin was kind enough to provide his own old … Read more →

357

R tips: 16 HOWTO’s with examples for data analysts

by Lingyun Zhang

2017-08-27

R tips: 16 HOWTO’s with examples for data analysts […] … Read more →

358

Population Health Data Science with R

by Tomás J. Aragón

2017-08-27

Population health data science (PHDS) is the art and science of transforming data into actionable knowledge to improve health. R is an open source programming environment for statistical computing and graphics. PHDS is captured by four words (describe, predict, discover, and advise) and extends epidemiology into five analytic domains: descriptive analytics for distribution of risks and outcomes; predictive analytics for early targeted prevention and response; explanatory analytics for causal inference and prevention design, and exploratory analytics for hypothesis generation of new causal pathways; and prescriptive analytics for optimizing decisions and resource allocations). Read more →

359

ModernDive

by Chester Ismay and Albert Y. Kim STARRING FRANK MCGRADE

2017-08-23

An open-source and fully-reproducible electronic textbook bridging the gap between traditional introductory statistics and data science courses. […] Help! I’m new to R and RStudio and I need to learn about them! However, I’m completely new to coding! What do I do? If you’re asking yourself this question, then you’ve come to the right place! Start with our Introduction for Students. This is version 0.2.0 of ModernDive published on August 02, 2017. For previous versions of ModernDive, see Section 1.4. This book assumes no prerequisites: no algebra, no calculus, and no prior programming/coding … Read more →

360

R Studio: A 3D Printer for Business Analytics

by Ed Anderson

2017-08-06

This document describes the concept of Mass Customisation as it applies to Business Analytics and provides case study implementations of R Studio […] Good Morning! How are you doing? It’s been great being part of the Analytical Community the last few years hasn’t it? The excitement is everywhere about “big-data”,“data-science”,“MOOCs”. I have been blown away by the talent being attracted into Analytics.One current trend is ‘a shift from a desire to work for bigger name brand companies like Facebook or Google, to more mission-driven organizations attempting to make an impact on society. … Read more →

361

Data Science in Educational Research

by Joshua M. Rosenberg

2017-07-30

This is an introduction and tutorial for data science in educational research. … Read more →

362

Papa’s Three Laws

by 大鹏&朋友

2017-07-20
Papa’s Three Laws

This is a selection of a papa’s diary originally posted on my blog. A family’s stories of two children are told. This book is being updated. […] 我家有两个娃。大的是男孩,生于北京,唤作京生; 小的也是男孩,生于德国,唤作德生。 本书讲述的是我和我的朋友们的育儿和家庭故事。 … Read more →

363

Data Science and Visualizations with R

by Jonathan Wong

2017-07-16

Data Science and Visualizations with R […] This is a course on the use of tidyverse packages tidyverse provides a complete suite of modern data-handling tools. It is an essential toolbox for any data scientist using R. The tidyverse package is designed to be easy to install. This course will dive into using tidyverse. It will assume you have already installed r and rstudio and how some familiarity on how to use the rstudio. This book will use the nycflights13 dataset This package contains information about all flights that departed from NYC in 2013: 336,776 flights with 16 variables. To … Read more →

364

R語言套件之道

by Cheng-Chung Li

2017-07-04

寫這本書有幾個原因,除了將自己對於R語言所學做一個整理之外,還希望能讓更多人將自己製作的R functions包裝成符合CRAN規定的R packages, 放到網路上讓大家共享。其實國內R語言的高手很多,但是卻很少人知道如何將寫好的functions包成套件,而國內的參考資料也不多。因此頂多只能在公司內部分享,這實在是很可惜的事情。 我也希望藉由這樣的資料,讓臺灣的高手們被世界看到,一起為R語言貢獻一份心力。 […] This is a sample book written in Markdown. You can use anything that Pandoc’s Markdown supports, e.g., a math equation (a^2 + b^2 = c^2). For now, you have to install the development versions of bookdown from Github: Remember each Rmd file contains one … Read more →

365

(Very) basic steps to weight a survey sample

by Josep Espasa Reig

2017-07-03

(Very) basic steps to weight a survey sample […] This is an introductory guide to survey weighting. It provides a step-by-step walkthrough of the main procedures and explains the statistical principles behind them. The guide includes R code to implement all stages of survey weighting and reproduces the weighting procedures of the 7th European Social Survey in the UK. This text avoids technical notation and language and is targeted to social scientists with a basic level of statistics and probability theory. Readers without knowledge of R should be able to benefit from this text as it … Read more →

366

The Unix Workbench

by Sean Kross

2017-06-29

The Unix Workbench […] Cover Image: A Goldsmith in his Shop by Petrus Christus This work by Sean Kross is licensed CC0. Zero rights … Read more →

367

Gopnik Guide to Biology

by Paulius Alaburda

2017-06-26

Bandymas sukurti lengvą biologijos elektroninę knygą. […] Internetas Lietuvos švietimo įrankiams kol kas turėjo mažai įtakos. Vietoje popierinės knygutės atsirado elektroninės knygutės, pasiruošti valstybiniams egzaminams atsirado programėlės. Bet šie įrankiai susiję su kontrolės struktūromis sekti moksleivio progresą ir įvertinti, ar jis teisingai pasiruošė egzaminui. Tikra edukacija prasideda ne nuo pažymių ar atsiskaitymo po 12 metų, o pirminio klausimo - kodėl? Pirminė nuostaba, jog aplinka neatitinka mūsų vidinio realybės modelio pastumia imtis veiksmų išsiaiškinti, kur mes klydome ir … Read more →

368

Notes

by Miao YU

2017-06-20

This is notes from yufree […] 这里的笔记主要来自于公开课笔记与相关教材的读书笔记,主题相对分散,但这些知识应该为当今科研人员的基本技能。 首先科研人员要有一定的数学与统计学功底,这是最最基本的工具学科。微积分、线性代数与数值方法是必须的数学工具,统计学工具则至少明白如何进行统计推断与预测。其余的要看应用,例如数论对密码学而言就是基础。 然后就是编程技能,编程方面首先要熟悉编程的思维方法,例如递归、迭代、条件语句等,也就是知道机器怎么运转。其次就是掌握一门高级语言,例如R、python或matlab,这样你可以快速实现自己的想法。 之后就是模型思维,懂得将实际问题抽象成一个概念问题或统计问题或仿真问 … Read more →

369

Notes on R for AML100

by Jordan T. Bates

2017-06-20

Notes on R for the course AML100 at Arizona State University. […] These notes introduce the basics of the programming language R as needed for the course AML100. Notes on RStudio and R Markdown are included in … Read more →

370

Underlagsrapport för En ännu bättre strålbehandling avseende incidens och prevalens av cancer i Västra Sjukvårdsregionen 2016-2030

by Erik Bülow

2017-06-16

Förutsägelse av framtida förekomst av cancer i Västra Sjukvårdsregionen. […] Rapporten presenteras i tre format, samtliga med samma text- och bildmässiga innehåll men med något olika tekniska lösningar. Om du läser denna rapports HTML-version så når du övriga format via nedladdningsikonen i sidhuvudet (se figur … Read more →

371

液体活检口袋书

by Dr.Thunder, Ming, Youcai

2017-06-01

Liquid biopsy pocket book (in Chinese), written by Bioinformatics engineers. […] 海普洛斯推出【液体活检口袋书】专栏,对液体活检进行系统、全面的介绍。每周三更新,向大家介绍关于液体活检的一切。 … Read more →

372

Detecting collusion in goverment procurement contracts

by Manuel Aragonés, Thalía Guerra, Roberto Sánchez and Mónica Zamudio

2017-05-26

This publication is the result of five months of work for our Data Product Architecture class project. […] Since 2002, the Mexican Federal government handles most of its procurement biddings through a transactional platform called Compranet. Even though most of the information in the platform is public, authorities and organizations dedicated to fight corruption do not have a technical framework to better allocate their resources into cases. Our project consisted in developing an interactive dashboard for investigators to track particular contracts and to filter out low-risk … Read more →

373

GuitaR Bookdown

by 大鹏

2017-05-25
GuitaR Bookdown

This is a collection of my favorite songs with guitar chords, produced by bookdown. […] 最真的梦,就是用R语言的bookdown把R代码、作图、数据分析和吉他谱弄到一起。 啥?弄到一起有什么用? 呃……容我清清脑子想一想…… 越过下面这座山丘,却发现无人等候…… 终会有一天 把心愿完成 带着你飞奔找永恒 [\int_0^\infty e^{-x^2} dx=\frac{\sqrt{\pi}}{2}] 本书的吉他谱,在网页上看不见,只有点击下载pdf才能看见哦。 … Read more →

374

Föll í R - Dæmi

by Eyþór Björnsson

2017-05-23

Föll í R - Dæmi […] Hér eru dæmi um notkun á föllum sem ég hef skrifað og má finna á GitHub. Þetta eru aðallega föll sem spara mikinn tíma við uppsetningu á algengum töflum fyrir vísindagreinar (á sviði læknavísinda) en eru líka hjálpleg til þess að átta sig á fylgni milli mismunandi breyta í gagnasafninu. Þessi síða er búin til með bookdown. Það er frábær pakki sem tvinnar saman R markdown skrár og setur saman í aðgengilegt html-bókarsnið. Í öllum dæmunum er notast við ‘diabetes’ gagnasettið sem er aðgengilegt frá http://biostat.mc.vanderbilt.edu/wiki/Main/DataSets. The data consist of 19 … Read more →

375

Egils saga Skalla-Grímssonar

by eythorbj

2017-05-15

Egils saga Skalla-Grímssonar […] Texti Egils sögu var afritaður af vefsíðu The Icelandic Saga Database (sótt 15. maí 2017) og útbúinn fyrir birtingu hér með R markdown og bookdown pakkanum í R. Eyþór Björnsson, 15. maí … Read more →

376

Literature thesis: Building a framework for retrieving information on multispecies interactions from published literature

by Gabriel Muñoz

2017-04-28

Literature thesis: Building a framework for retrieving information on multispecies interactions from published literature […] The generation of new global hypothesis, destined to understand our current global biodiversity crisis, requires a large amount of information. Our knowledge in Ecology is principally contained in the form of published articles. This global body of literature holds a significant amount of primary data on species distributions and interactions across a large geographical and temporal scale. In this literature review, I explore the use of different computational tools … Read more →

377

The Art of Data Science

by Roger D. Peng and Elizabeth Matsui

2017-04-26

The book covers R software development for building data science tools. As the field of data science evolves, it has become clear that software development skills are essential for producing useful data science results and products. You will obtain rigorous training in the R language, including the skills for handling complex data, building R packages and developing custom data visualizations. You will learn modern software development practices to build tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers. Read more →

378

An approach to identify the sources of low-carbon growth for Europe

by Georg Zachmann, Bruegel gz@bruegel.org, Robert Kalcik, Bruegel robert.kalcik@bruegel.org

2017-04-21
An approach to identify the sources of low-carbon growth for Europe

This website serves to illustrate the findings of the policy contribution ‘An approach to identify the sources of low-carbon growth for Europe’ and allows a deeper dive into the underlying data. […] This website serves to illustrate the findings of the policy contribution “An approach to identify the sources of low-carbon growth for Europe” (Zachmann 2016) and allows a deeper dive into the underlying data. The website is focused on presenting figures and deliberately only offers short descriptions and interpretations. The research underlying this report has been financially supported by the … Read more →

379

Notas sobre Estimación Puntual

by Peter Olejua

2017-04-06

Se desarrolla el tema de estimación puntual para el curso Métodos en Bioestadística I perteneciente al Maestría en Bioestadística de la Universidad Javeriana […] En las siguientes páginas se desarrolla brevemente el tema de estimación puntual. Forma parte de una evaluación para el curso Métodos en Bioestadística I, perteneciente al Maestría en Bioestadística de la Universidad Javeriana. Este trabajo puede usado como una introducción, a manera de notas de clases o como un inicio de colaboración a un escrito más amplio y completo sobre estimación puntual. Cualquier crítica, aporte y/o … Read more →

380

An approach to identify the sources of low-carbon growth for Europe

by Georg Zachmann

2017-04-03
An approach to identify the sources of low-carbon growth for Europe

Draft website for the European Climate Foundation […] This website serves to illustrate the findings of the policy contribution “An approach to identify the sources of low-carbon growth for Europe” (Zachmann 2016) and allows a deeper dive into the underlying data. The website is focused on presenting figures and deliberately only offers curt descriptions/interpretations. It is currently structured into five chapters but we plan to extend it when further steps of our analysis become available. The research underlying this report has been financially supported by the European Climate … Read more →

381

Advances on the analysis on connectivity of Raphia taedigera palm swamps for Central America

by Gabriel Muñoz

2017-03-13

Advances on the analysis on connectivity of Raphia taedigera palm swamps for Central America … Read more →

382

Data lunch 2feb: The use of Bookdown to write documents and reports

by Gabriel Muñoz

2017-02-03

Data lunch 2feb: The use of Bookdown to write documents and reports […] Make sure you have installed the latest version of R and the Preview Release of RStudio. The following packages should be installed. If you have them already make sure they are updated. The most up to date versions are the “in development” versions from gitHub. Do you have Pandoc installed? RStudio should come along with Pandoc. and latex ? ( if you want to have PDF outputs as well) note that PDF does not allow interactive plots If you do not have latex installed Mac OS X –> MacTeX (http://www.tug.org/mactex/) Linux … Read more →

383

기초통계 개념정리

by 김진섭

2017-01-29

This is a basic statistics book written by JSKIM. […] This is a basic statistics book written by Jinseob … Read more →

384

Revealed comparative advantage and network centrality

by Sergej Kaiser

2017-01-26

Revealed comparative advantage and network centrality … Read more →

385

A Minimal Book Example

by Yihui Xie (Daniel Kim translated it into Korean)

2017-01-08

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] This is a sample book written in Markdown. You can use anything that Pandoc’s Markdown supports, e.g., a math equation (a^2 + b^2 = c^2). For now, you have to install the development versions of bookdown from Github: Remember each Rmd file contains one and only one chapter, and a chapter is defined by the first-level heading #. To compile this example to PDF, you need to install XeLaTeX. 이 예제를 PDF로 컴파일하려면, XeLaTeX을 … Read more →

386

R aplicado à Biologia: uma introdução descomplicada e divertida!

by Marcos Vital, do Laboratório de Ecologia Quantitativa da UFAL

2017-01-07

Este é o livro ao vivo do blog Cantinho do R […] Este material foi construído com a ajuda de muitas pessoas que acreditam no LEQ e em Ciência Livre. Muito obrigado! Para mais material, visite o Cantinho do R Um prefácio da nova apostila do Cantinho do R Viva! Depois de uma longa demora (pelo menos para quem nos acompanha desde o começo), aqui está a nossa nova apostila do Cantinho do R! :D Se você é um recém chegado, acho que eu tenho que começar explicando aqui o que é, pra que serve e de onde nasceu este material, não é? É disso que se trata este primeiro capítulo. Mas não se preocupe, … Read more →

387

Do not use averages with Likert scale data

by Dwight Barry

2017-01-05
Do not use averages with Likert scale data

This is a short overview of why averages don’t work well for evaluating Likert scale or other ordinal-scale data, and what to do instead, with examples using R. While the examples are focused on healthcare surveys, the lessons apply to any use of ordinal scale data. Note: all of the data in this document is fake, created specifically to illustrate particular points. Contact/Twitter: @healthstatsdude PDF version: Website: https://bookdown.org/Rmadillo/likert/ Corrections/Pull requests: https://github.com/Rmadillo/likert Cover image: Gustave Doré, 1863. Illustration 12 for Cervantes’s Don … Read more →

388

Dengue Forecasting Project

by Raghvendra Jain

2016-12-15

This is a book that contains experiments and results about the predictions of dengue outtbreaks in Thailand. […] This is a sample book written in Markdown. For now, you have to install the development versions of bookdown from Github: … Read more →

389

Efficient R programming

by Colin Gillespie, Robin Lovelace

2016-11-30
Efficient R programming

Efficient R Programming is about increasing the amount of work you can do with R in a given amount of time. It’s about both computational and programmer efficiency. […] This is the online version of the O’Reilly book: Efficient R programming. Pull requests and general comments are welcome. Colin Gillespie is Senior lecturer (Associate professor) at Newcastle University, UK. His research interests are high performance statistical computing and Bayesian statistics. He is regularly employed as a consultant by Jumping Rivers and has been teaching R since 2005 at a variety of levels, ranging … Read more →

390

Interactive Data Visualization (2nd Day)

by Paul C. Bauer & Richard Traunmüller

2016-11-23

Script developed for a workshop at the CUSO doctoral school on the 4th and 5th November 2016. […] This document serves as slides and script for the second day of the workshop Data Visualization taught by Paul C. Bauer and Richard Traunmüller for the Programme doctoral en science politique (PDSPO) (Bern, 4-5 of November 2016). The present material is licensed under a Creative Commons Attribution-ShareAlike License 3.0. Regarding further use of this material contact Paul. Some of the material is inspired by the official shiny tutorial and Plotly for R by Carston Sievert. For potential future … Read more →

391

ggplot2逆引き集

by @kazutan

2016-11-20

これはggplot2逆引き集です。 […] これはQiitaで公開されているggplot2逆引きの記事を集めたものです。今のところ,@kazutanが作成した12本をまとめています。 なにかありましたら,以下のGithubリポジトリのissueもしくはTwitterの@kazutanまでおねがいします。 … Read more →

392

R Powered Web Applications with Shiny

by Zev Ross (with Andrew Clark)

2016-11-08

R Powered Web Applications with Shiny […] This is a book version, transcribed by Andrew Clark using RStudio’s bookdown package, of an extensive blog post by Zev Ross. The book version has the advantage of being available in several formats, more easily updated and downloadable. However, for an interactive version refer to the above mentioned blog … Read more →

393

Premier League Annual

by Andrew Clark

2016-10-29

Premier League Annual […] This is an ‘on the fly’ annual based on the 2016⁄17 Premier League season, updated weekly with charts, tables, highlight videos and trivia related to the games played. Each chapter features static visualizations relevant to the games that week. Greatly extended, fully-interactive and constantly updated versions can be found on the accompanying dashboard site Additional data is available at the Premier League Web site Most of the underlying data is unofficial, unguaranteed error-free and available for a million dollars. There is also likely to be use of James … Read more →

394

Handling Strings with R

by Gaston Sanchez

2016-10-19
Handling Strings with R

This book aims to provide a panoramic perspective of the wide array of string manipulations that you can perform with R. If you are new to R, or lack experience working with character data, this book will help you get started with the basics of handling strings. Likewise, if you are already familiar with R, you will find material that shows you how to do more advanced string and text processing operations. Read more →

395

GerminaQuant

by Flavio Lozano Isla, Omar Benites Alfaro, Marcelo Francisco Pompelli

2016-10-11
GerminaQuant

A guide for analisis of germination variables and usage of GerminaQuant. […] GerminaQuant allows make the calculation of the germination variables incredibly easy in an interactive applications build in R (R Core Team 2016), based in GerminaR and Shiny (Chang et al. 2016) package. GerminaQuant app is reactive!. Outputs change instantly as users modify inputs, without requiring a reload the app. The principal features of the application allow calculate the princiapal germination Variables, statistical analysis and easy way to plot the results. … Read more →

396

Spark Social Science Manual

by Research Programming, The Urban Institute

2016-10-03

Spark Social Science Manual […] Let the sample mean, (\hat{\mu}), be the parameter estimate for our mean parameter (\mu) and the null hypothesis of the t-test be (H_0): (/mu = 0). The test statistic is given by (\hat{\mu} / (\hat{\sigma} / \sqrt{n})). Remember that the p-value is determined by the test statistic and the t-distribution with ((n – 2)) degrees of freedom in this case. By the Central Limit Theorem, (\sqrt{n}*(\hat{\mu}-\mu) \rightarrow N(0,\sigma^2)) as (n \rightarrow \infty), or written differently as (\hat{\mu} \rightarrow \mu + \frac{\sigma}{\sqrt{n}}N(0,1)) … Read more →

397

Multivariate Analysis with Optimal Scaling

by Jan de Leeuw, Patrick Mair, Patrick Groenen

2016-09-28
Multivariate Analysis with Optimal Scaling

In 1980 members of the Department of Data Theory at the University of Leiden taught a post-doctoral course in Nonlinear Multivariate Analysis. The course content was sort-of-published, in Dutch, as Gifi (1980). The course was repeated in 1981, and this time the sort-of-published version (Gifi (1981)) was in English. The preface gives some details about the author. The text is the joint product of the members of the Department of Data Theory of the Faculty of Social Sciences, University of Leiden. ‘Albert Gifi’ is their ‘nom de plume’. The portrait, however, of Albert Gifi shown here, is that … Read more →

398

Econ 215 Notes

by Salfo Bikienga

2016-09-26

Lecture notes for my introduction to statistics class at University of Nebraska-Lincoln. […] This is supposed to be your first course in statistics. So the goal is to give you an overview of what statistics is, why it is a powerful thing to know, how you can use it to make informed decision or understand “numbers speak” people throw around in the news. At the end of this class, I hope: 1- You understand the importance of statistics; 2- You can better appreciate the numbers you get from the news; 3- You can perform your own analysis to inform yourself, and your collaborators. The explosion … Read more →

399

Exploratory Data Analysis with R

by Roger D. Peng

2016-09-14
Exploratory Data Analysis with R

This book covers the essential exploratory techniques for summarizing data with R. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data you have. We will cover in detail the plotting systems in R as well as some of the basic principles of constructing informative data graphics. We will also cover some of the common multivariate statistical techniques used to visualize high-dimensional data. Read more →

400

Getting used to R, RStudio, and R Markdown

by Chester Ismay

2016-09-13

An introduction into using R, RStudio, and R Markdown for new users […] In the HTML version of this book, you can also download the PDF version of the book by clicking on PDF button in the top toolbar of the page. HTML is the preferred format but the PDF format may be preferred for some readers. Links to the different GIFs directly found in the HTML version are provided in the PDF version. This resource is designed to provide new users to R, RStudio, and R Markdown with the introductory steps needed to begin their own reproducible research. A review of many of the common R errors … Read more →

401

Руководство по data.table

by Андрей Огурцов

2016-09-12

Руководство по пакету data.table: перевод виньеток, справочная иформация. […] Вступление Данное руководство содержит переводы всех виньеток по пакету data.table. Все, кроме последней, переведены с версий от июня 2015 г.; последняя - с версии от апреля 2016 г. Переводы будут актуализироваться, также планируется добавить другие материалы. … Read more →

402

Principles of Econometrics with R

by Constantin Colonescu

2016-09-01

This is a beginner’s guide to applied econometrics using the free statistics software R. […] … Read more →

403

Chess Encounters

by Andrew Clark and Joshua Kunst

2016-08-10
Chess Encounters

Chess Encounters […] … Read more →

404

Notes and Codes while Learning R

by Scott Ming

2016-07-31

这里是明生学 R 的笔记。 […] Bookdown 是个很赞的写作工具,在这里记录一些自己学习 R 与数据科学的笔记,如有错误,欢迎指出。我的 GitHub 地址:https://github.com/scottming … Read more →

405

useR2016 Conference Videos

by Andrew Clark

2016-07-19
useR2016 Conference Videos

Chart, interactive table and a selection of videos from the useR2016 conference […] This acts as a repository for some of my favourite video talks from the recent useR2016 conference along with the ability to view any of the offerings via a clickable table. It is probably not the most effective of presentation but is a trial run for creating and deploying interactive books to bookdown.org Andrew Clark is an independent R developer based in North Vancouver He has for many years supplied statistical sports data on the web but with the interactive opportunities arising from the shiny framework … Read more →

406

Scalable Machine Learning and Data Science with Microsoft R Server and Spark

by Ali Zaidi, Machine Learning and Data Science, Microsoft

2016-06-01

These are (tentatively) rough notes showcasing some tips on conducting large scale data analysis with R, Spark, and Microsoft R Server. The focus is primarily on machine learning with Azure HDInsight platform, but review other in-memory, large-scale data analysis platforms, such as R Services with SQL Server 2016, and discuss how to utilize BI tools such as PowerBI and Shiny for dynamic reporting, and report generation. Read more →

407

Shiny Tutorial

by Weicheng Zhu

2016-05-25

This is a shiny tutorial. […] Some basic knowlege about the R lanuage is requred. It would be helpful if you have some basic knowlege about HTML, CSS and javascript, but they are not … Read more →

408

Backtesting Strategies with R

by Tim Trice

2016-05-06

Backtesting strategies with R […] This book is designed to not only produce statistics on many of the most common technical patterns in the stock market, but to show actual trades in such scenarios. Test a strategy; reject if results are not promising Apply a range of parameters to strategies for optimization Attempt to kill any strategy that looks promising. Let me explain that last one a bit. Just because you may find a strategy that seems to outperform the market, have good profit and low drawdown this doesn’t mean you’ve found a strategy to put to work. On the contrary, you must work to … Read more →

409

Praktiskā biometrija

by Didzis Elferts

2016-04-19

Piemēri darbā ar programmu R, lai risinātu statistikas problēmas bioloģijā. […] Praktiskā biometrija Šī grāmata ir mans mēģinājums samērā vieglā formā ar minimālu teorijas materiālu sniegt praktiskus padomus statistisko analīžu veikšanā biologiem. Tā kā uzsvars ir likts uz vārdu ‘’praktiski’’, tad lielāko grāmatas daļu sastāda piemēri tam, kā veikt katru no apskatītajiem statistiskajiem testiem. Plašāka teorētiskā pamatojuma iegūšanai noderēs citu autoru darbi. Nenoliedzami nopietnākais darbs latviešu valodā biometrijas jomā ir jāmin Liepa (1974) grāmata, angļu valodā tas būtu kāds no … Read more →

410

A Minimal Book Example

by Yihui Xie

2016-04-12

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] This is a sample book written in Markdown. You can use anything that Pandoc’s Markdown supports, e.g., a math equation (a^2 + b^2 = c^2). For now, you have to install the development versions of bookdown from Github: Remember each Rmd file contains one and only one chapter, and a chapter is defined by the first-level heading … Read more →

411

Block Relaxation Methods in Statistics

by Jan de Leeuw

2016-04-01

The book discusses block relaxation, alternating least squares, augmentation, and majorization algorithms to minimize loss functions, with applications in statistics, multivariate analysis, and multidimensional scaling. […] Many recent algorithms in computational statistics are variations on a common theme. In this book we discuss four such classes of algorithms. Or, more precisely, we discuss a single large class of algorithms, and we show how various well-known classes of statistical algorithms fit into this common framework. The types of algorithms we consider are, in logical order, … Read more →

412

APL in R

by Jan de Leeuw, Masanao Yajima

2016-04-01

R versions of the array manipulation functions of APL are presented. We do not translate the system functions or other parts of the runtime. Also, the current version has does not have the nested arrays of APL2. […] APL was introduced by Iverson (1962). It is an array language, with many functions to manipulate multidimensional arrays. R also has multidimensional arrays, but not as many functions to work with them. In R there are no scalars, there are vectors of length one. For a vector x in R we have dim(x) equal to NULL and length(x) > 0. For an array, including a matrix, we have … Read more →

413

Dialogues Concerning Natural Religion

by David Hume

1779-01-01

David Hume’s Dialogues Concerning Natural Religion […] Original text from Project Gutenberg. This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at http://www.gutenberg.net. This page is created using the Tufte package within Bookdown. Both were written by primarily by Yihue Xie. Pamphilus to Hermippius It has been remarked, my HERMIPPUS, that though the ancient philosophers conveyed most of their instruction in the … Read more →

414

16S rRNA analysis

by R.Lappan

2019-12-04*

Documentation describing my analyses of 16S rRNA sequencing data. […] My name is Rachael Lappan, and I am a PhD candidate at the University of Western Australia. The core of my PhD work is the Perth Otitis Media Microbiome (biOMe) study, where I work on the upper respiratory tract microbiome in children with recurrent acute otitis media (middle ear infections). The first stage of this research involved characterising the microbiome (by 16S rRNA gene sequencing) on samples from children with ear infections compared with samples from seemingly resistant healthy controls. The paper can be … Read more →

415

A Practical Extension of Introductory Statistics in Psychology using R

by Ekarin E. Pongpipat, Giuseppe G. Miranda, & Matthew J. Kmiecik

2019-12-04*

This book aims to provide a practical extension of introductory statistics typically taught in psychology into the general linear model (GLM) using R. […] Typically, introductory univariate statistics courses in psychology cover the following inferential analyses (plus or minus a few more analyses): These conventions may be useful for quickly talking about a particular statistical analysis with others; however, thinking of these analyses as derivatives (or special cases) of the GLM (i.e., ordinary least squares [OLS] regression) lends itself to understanding more advanced statistical … Read more →

416

Advanced R

by Hadley Wickham

2019-12-04*
Advanced R

This is the website for 2nd edition of “Advanced R”, a book in Chapman & Hall’s R Series. The book is designed primarily for R users who want to improve their programming skills and understanding of the language. It should also be useful for programmers coming to R from other languages, as help you to understand why R works the way it does. If you’re looking for the electronic version of the 1st edition, you can find it online at http://adv-r.had.co.nz/. This work, as a whole, is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. The code … Read more →

417

Advanced R Solutions

by Malte Grosser, Henning Bumann & Hadley Wickham

2019-12-04*
Advanced R Solutions

Solutions to the Exercises from Hadley Wickham’s book ‘Advanced R’. […] This book offers solutions to the exercises from Hadley Wickham’s book Advanced R (Edition 2). It is work in progress and under active development. The 2nd edition of Advanced R is still being revised, but we hope to provide most of the answers in 2019. The solutions to the first edition of Advanced R can currently be found at https://advanced-r-solutions-ed1.netlify.com/. The code for this book can be found on GitHub. Your PRs and suggestions are very welcome. This work by Malte Grosser and Henning Bumann is licensed … Read more →

418

Agile Data Science with R

by Edwin Thoen

2019-12-04*

A workflow for doing data science in the R language, using Agile principles. […] When I was starting my career as a data scientist, I did not really have a workflow. Freshly out of statistics grad school I entered the arena of Dutch business, employed by a small consulting firm. Between the company, the potential clients and myself, no one knew what it meant to implement a statistical model or a machine learning method in the “real” world. But everybody was interested in this “Big Data” thing, so we quickly started to do consulting work without a clear idea what I was going to do. When we … Read more →

419

Big Data and Social Science

by Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter and Julia Lane

2019-12-04*

Big Data and Social Science […] The class on which this book is based was created in response to a very real challenge: how to introduce new ideas and methodologies about economic and social measurement into a workplace focused on producing high-quality statistics. We are deeply grateful for the inspiration and support of Census Bureau Director John Thompson and Deputy Director Nancy Potok in designing and implementing the class content and structure. As with any book, there are many people to be thanked. We are grateful to Christina Jones, Ahmad Emad, Josh Tokle from the American … Read more →

420

Climate Change Impact Assessment: A practical walk through

by Conor I. Anderson and Karen L. Smith

2019-12-04*

A lab manual for students of Climate Change Impact Assessment […] This book is an open source document, hosted on the GitLab platform (project page), and published using GitLab Pages, where you are probably reading it now. The book is automatically updated and republished every time changes are committed to the project, using the GitLab multi runner CI engine, and a Docker image with a distribution of Miniconda, including Python 3 and R. The book is built using the bookdown package (Xie 2019) in R, and pandoc. Most of the code is executed in Python from within R using the reticulate package … Read more →

421

ComplexHeatmap Complete Reference

by Zuguang Gu

2019-12-04*

Complex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential patterns. Here the ComplexHeatmap R package provides a highly flexible way to arrange multiple heatmaps and supports various annotation graphics. This book is the complete reference to ComplexHeatmap pacakge. […] This is the documentation of the ComplexHeatmap package. Examples in the book are generated under version 2.1.1. You can get a stable Bioconductor version from http://bioconductor.org/packages/release/bioc/html/ComplexHeatmap.html, but the most up-to-date version is … Read more →

422

CookDown

by Ellis Valentiner

2019-12-04*

A collection of recipes. […] This is a collection of recipes written in Bookdown. Feel free to … Read more →

423

Data Science Live Book

by Pablo Casas

2019-12-04*
Data Science Live Book

An intuitive and practical approach to data analysis, data preparation and machine learning, suitable for all ages! […] This book is now available at Amazon. Check it out! 📗 🚀. Link to the black & white version, also available on full-color. It can be shipped to over 100 countries. 🌎 The book will facilitate the understanding of common issues when data analysis and machine learning are done. Building a predictive model is as difficult as one line of R code: That’s it. But, data has its dirtiness in practice. We need to sculp it, just like an artist does, to expose its information in order … Read more →

424

Data Science Practice

by Perry Stephenson

2019-12-04*
Data Science Practice

Course notes for 94692 Data Science Practice at the University of Technology, Sydney. […] This website forms the course notes for 94692 Data Science Practice which is an elective subject developed as part of the Master of Data Science and Innovation program at the University of Technology, Sydney. For more information about this subject see the Subject Information. For more information about the MDSI program see the MDSI Prospectus. Whilst these course materials have been produced specifically for MDSI students, they have been made available under a permissive license for the benefit of the … Read more →

425

Data Visualization

by Kieran Healy

2019-12-04*
Data Visualization

A practical introduction. […] Published by Princeton University Press. Incomplete draft. This version: 2018-04-25. You should look at your data. Graphs and charts let you explore and learn about the structure of the information you collect. Good data visualizations also make it easier to communicate your ideas and findings to other people. Beyond that, producing effective plots from your own data is the best way to develop a good eye for reading and understanding graphs—good and bad—made by others, whether presented in research articles, business slide decks, public policy advocacy, or … Read more →

426

Estadística Multivariada

by María Teresa Ortiz, Felipe González

2019-12-04*

Curso de estadística multivariada, Maestría en Ciencia de Datos, ITAM 2015. […] Notas del curso Estadística Multivariada del programa de maestría en Ciencia de Datos del ITAM. Las notas fueron desarrolladas en 2014 por Teresa Ortiz y Felipe González y actualizadas en 2015, actualmente se trabaja en una segunda actualización. En caso de encontrar errores o tener sugerencias del material se agradece la propuesta de correcciones mediante pull requests. Notas: https://est-mult.netlify.com Correo: teresa.ortiz.mancera@gmail.com GitHub: https://github.com/tereom/est-multivariada Este trabajo está … Read more →

427

Forecasting: Principles and Practice

by Rob J Hyndman and George Athanasopoulos

2019-12-04*
Forecasting: Principles and Practice

Welcome to our online textbook on forecasting. This textbook is intended to provide a comprehensive introduction to forecasting methods and to present enough information about each method for readers to be able to use them sensibly. We don’t attempt to give a thorough discussion of the theoretical details behind each method, although the references at the end of each chapter will fill in many of those details. The book is written for three audiences: (1) people finding themselves doing forecasting in business when they may not have had any formal training in the area; (2) undergraduate … Read more →

428

Fundamentals of Data Visualization

by Claus O. Wilke

2019-12-04*
Fundamentals of Data Visualization

A guide to making visualizations that accurately reflect the data, tell a story, and look professional. […] This is the website for the book “Fundamentals of Data Visualization,” published by O’Reilly Media, Inc. The website contains the complete author manuscript before final copy-editing and other quality control. If you would like to order an official hardcopy or ebook, you can do so at various resellers, including Amazon, Barnes and Noble, Google Play, or Powells. The book is meant as a guide to making visualizations that accurately reflect the data, tell a story, and look professional. … Read more →

429

Hands-On Programming with R

by Garrett Grolemund

2019-12-04*
Hands-On Programming with R

This book will teach you how to program in R, with hands-on examples. I wrote it for non-programmers to provide a friendly introduction to the R language. You’ll learn how to load data, assemble and disassemble data objects, navigate R’s environment system, write your own functions, and use all of R’s programming tools. Throughout the book, you’ll use your newfound skills to solve practical data science problems. Read more →

430

mixOmics vignette

by Kim-Anh Le Cao1, Sebastien Dejean2, Al J Abadi3

2019-12-04*

Vignette for the R package mixOmics […] This document outlines the use of our key functions in our mixOmics package. If you run into any issues reproducing these results, please let us know by creating an issue here. We welcome transparent discussions and suggestions, feel free to on our new mixOmics Discourse forum! This document outlines the use of our key functions in our mixOmics package. If you run into any issues reproducing these results, please let us know by creating an issue here. We welcome transparent discussions and suggestions, feel free to share your own on our new mixOmics … Read more →

431

Odds & Ends

by Jonathan Weisberg

2019-12-04*
Odds & Ends

An open access textbook for introductory philosophy courses on probability and inductive logic. […] This textbook is for introductory philosophy courses on probability and inductive logic. It is based on a typical such course I teach at the University of Toronto, where we offer “Probability & Inductive Logic” in the second year, alongside the usual deductive logic intro.(\,) The book assumes no deductive logic. The early chapters introduce the little that’s used. In fact almost no formal background is presumed, only very simple high school algebra. Several well known predecessors inspired … Read more →

432

R for Data Science

by Garrett Grolemund, Hadley Wickham

2019-12-04*
R for Data Science

This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it. In this book, you will find a practicum of skills for data science. Just as a chemist learns how to clean test tubes and stock a lab, you’ll learn how to clean data and draw plots—and many other things besides. These are the skills that allow data science to happen, and here you will find the best practices for doing each of these things with R. You’ll learn how to use the grammar of graphics, literate programming, and reproducible research to save time. You’ll also learn how to manage cognitive resources to facilitate discoveries when wrangling, visualising, and exploring data. Read more →

433

R Packages

by Hadley Wickham, Jennifer Bryan

2019-12-04*
R Packages

This book will teach you how to create a package, the fundamental unit of shareable, reusable, and reproducible R code. […] Packages are the fundamental units of reproducible R code. They include reusable R functions, the documentation that describes how to use them, and sample data. In this book you’ll learn how to turn your code into packages that others can easily download and use. Writing a package can seem overwhelming at first. So start with the basics and improve it over time. It doesn’t matter if your first version isn’t perfect as long as the next version is better. This is where … Read more →

434

Self-Control in Cyberspace: Applying Dual Systems Theory to a Review of Digital Self-Control Tools

by Ulrik Lyngs, Kai Lukoff, Petr Slovak, Reuben Binns, Adam Slack, Michael Inzlicht, Max Van Kleek, Nigel Shadbolt

2019-12-04*

Self-Control in Cyberspace: Applying Dual Systems Theory to a Review of Digital Self-Control Tools […] Note: This is the author’s version of the work. The definitive Version of Record was published in CHI Conference on Human Factors in Computing Systems Proceedings (CHI 2019), May 4–9, 2019, Glasgow, Scotland UK, doi.org/10.1145⁄3290605.3300361. Smartphones and laptops give their users access to an astonishing range of tasks anywhere, anytime. While this provides innumerable benefits, a growing amount of public discussion and research attention focuses on a perhaps unexpected … Read more →

435

Spreadsheet Munging Strategies

by Duncan Garmonsway

2019-12-04*

Spreadsheet Munging Strategies […] This is a work-in-progress book about getting data out of spreadsheets, no matter how peculiar. The book is designed primarily for R users who have to extract data from spreadsheets and who are already familiar with the tidyverse. It has a cookbook structure, and can be used as a reference, but readers who begin in the middle might have to work backwards from time to time. R packages that feature heavily are Tidyxl and unpivotr are much more complicated than readxl, and that’s the point. Tidyxl and unpivotr give you more power and complexity when you need … Read more →

436

Statistical Analysis of Agricultural Experiments using R

by Andrew Kniss & Jens Streibig

2019-12-04*
Statistical Analysis of Agricultural Experiments using R

Using the R language to analyze agricultural experiments. […] Kniss AR, Streibig JC (2018) Statistical Analysis of Agricultural Experiments using R. https://Rstats4ag.org. Accessed … Read more →

437

Statistical Thinking for the 21st Century

by Russell A. Poldrack

2019-12-04*

A book about statistics. […] The goal of this book is to the tell the story of statistics as it is used today by researchers around the world. It’s a different story than the one told in most introductory statistics books, which focus on teaching how to use a set of tools to acheive very specific goals. This book focuses on understanding the basic ideas of statistical thinking — a systematic way of thinking about how we describe the world and make decisions and predictions, all in the context of the inherent uncertainty that exists in the real world. It also brings to bear current methods … Read more →

438

The Tidynomicon

by Dhavide Aruliah and Greg Wilson

2019-12-04*

The Tidynomicon […] Years ago, Patrick Burns wrote The R Inferno, a guide to R for those who think they are in hell. Upon first encountering the language after two decades of using Python, I thought Burns was an optimist—after all, hell has rules. I have since realized that R does too, and that they are no more confusing or contradictory than those of other programming languages. They only appear so because R draws on a tradition unfamiliar to those of us raised with derivatives of C. Counting from one, copying data rather than modifying it, lazy evaluation: to quote the other bard, these … Read more →

439

Tidy evaluation

by Lionel Henry, Hadley Wickham

2019-12-04*

The primary goal of this book is to get you up to speed with tidy evaluation and how to write functions around tidyverse pipelines and grammars. […] The primary goal of this book is to get you up to speed with tidy evaluation by showing you how to write functions using tidyverse pipelines and grammars. The book is written and organised so that you can quickly find the information you need to solve real world problems without having to “get” tidy eval first: The first chapter Getting up to speed is a quick introduction to the main pattern used in all tidy eval functions: quote and unquote. … Read more →

440

Tidy tools for supporting fluent workflow in temporal data analysis

by Earo Wang

2019-12-04*

This is the website for my PhD thesis at Monash University (Australia), titled “Tidy tools for supporting fluent workflow in temporal data analysis”. … Read more →

441

Variability and Consistency in Early Language Learning

by Michael Frank, Mika Braginsky, Virginia Marchman, and Daniel Yurovsky

2019-12-04*

Variability and Consistency in Early Language Learning […] The emergence of children’s early language is one of the most miraculous parts of human development. The ability to communicate using language arrives with incredible rapidity – most parents judge that their child is producing words with the intent to communicate before his or her first birthday (Schneider, Yurovsky, and Frank 2015) and the onset of comprehension is even earlier (e.g., Bergelson and Swingley 2012; Tincoff and Jusczyk 1999). New words enter children’s expressive vocabularies slowly at first, but this process … Read more →

442

VCRIS User Guide

by VCRIS logo Virginia Department of Historic Resources

2019-12-04*

This is documentation for the Virginia Department of Historic Resources’ Virginia Cultural Resources Information Sytesm (VCRIS) application. […] VCRIS (Virginia Cultural Resource Information System) provides access to electronic records for historic properties in DHR’s Archives, as well as an online submission system for recording new buildings, structures, landscapes, and archaeological sites. VCRIS includes an interactive web map and detailed information about each site, along with evaluative information about the historic significance of resources. DHR launched VCRIS in 2013 and … Read more →

443