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ԱՆԱԼՈԳԱՅԻՆ ԻՆՏԵԳՐԱԼ ՍԽԵՄԱՆԵՐԻ ՆԱԽԱԳԾՈՒՄ։

by Հեղինակներ՝ Արմեն Համբարյան, Վարդան Անատոմյան։

2024-05-22

ԱՆԱԼՈԳԱՅԻՆ ԻՆՏԵԳՐԱԼ ՍԽԵՄԱՆԵՐԻ ՆԱԽԱԳԾՈՒՄ։ […] Մենք ինքներս այս ոլորտում սկսնակ ենք և սովորելու ընթացքում միտք առաջացավ ստեղծել այս գրվածքը որտեղ շատ համառոտ ներկայացված են անալոգային սխեմաների նախագծման հիմունքները։ Աշխատանքը գտնվում է մշակման փուլում։ Կոդերը և աշխատանքում կատարված «Spice» հետազոտության արձյունքները «csv» ձևաչափով տեղադրված են Github հղումում, որոնցից ընթերցողը կարող է օգտվել տարբեր նպատակներով։ Հիմնական գրականությունը որից օգտվել ենք Behzad Razavi֊ի Design of Analog CMOS Integrated Circuits է։ Ինչպես նաև հատուկ շնորհակալություն ենք հայտնում Synopsys Armenia ուսումնական … Read more →

1

R语言在心理学研究中的应用: 从原始数据到可重复的论文手稿(V2)

by 胡传鹏

2024-05-16

课程bookdown […] 第一讲:为什么要学习R 1.1 R在心理科学及社会科学中的运用 1.2 R语言使用的示例展示 1.3 课程安排 1.4 如何学好这门课 第二讲:如何开始使用R 2.1 要解决的数据分析问题简介[介绍我们的数据和拟解决的问题,对比R和传统flow] 2.1 如何安装? 2.2 如何方便使用?Rstudio的安装与界面介绍 第三章:如何使用本课件/电子书资源 3.1 Git与Github 3.2 项目、文件与代码的规范化 第四章:如何导入数据 4.1 路径与工作目录 4.2 读取数据 4.3 了解R里的数据 (R语言中的对象) 第五章:如何清理数据一 R语言编程基础 5.1 R对象的操控 5.2 逻辑运算 5.3 函数 第六章:如何清理数据二 数据的预处理 6.1 Tidyverse简介 6.2 … Read more →

2

rdwd

by Berry Boessenkool, berry-b@gmx.de

2024-05-14

rdwd is an R package to handle data from the German Weather Service (DWD). This website 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 →

3

Statistical Inference via Data Science

by Chester Ismay and Albert Y. Kim

2024-05-09
Statistical Inference via Data Science

An open-source and fully-reproducible electronic textbook for teaching statistical inference using tidyverse data science tools. […] This is the website for Statistical Inference via Data Science: A ModernDive into R and the Tidyverse! Visit the GitHub repository for this site and find the book on Amazon. You can also purchase it at CRC Press using discount code ADC24. This work by Chester Ismay and Albert Y. Kim is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International … Read more →

4

An Introduction to Interaction Effects in SEMs using ModSEM

by Kjell S Slupphaug

2024-05-05

Kjell S Slupphaug This is a book written using quarto. It is meant as an introduction to estimating latent interactions using the ModSEM package. See https://github.com/Kss2k/modsem The ModSEM package allows you to use a wide variety of methods for estimating latent interactions. The ModSEM package is mainly a package for using different product indicator based approached, but it also allows you to use the latent moderated structural equations approach (LMS) and Quasi Maximum Likelihood (QML) approach. To install … Read more →

5

R course

by Berry Boessenkool, berry-b@gmx.de

2024-04-30

to programming with R! I hope learning to code will change your life like it did mine :). Since 2012, I teach R courses with great joy, see brry.github.io. This website is here to help you start your coding journey. My main slidedeck (in a single PDF) is avalaible through two openHPI courses. These have autograded exercises and are fairly suitable to learn R on your own. Feel free to book me as a trainer in addition. German, ca 20-50 hours English, ca 30-70 hours There is also material for a course taking a few hours. My old slides are still directly available. A few notes on this website: The … Read more →

6

Workshop: Applied Machine Learning - Workshop: Applied Machine Learning (with R)

by Dr. Paul C. Bauer

2024-04-19

Dr. Paul C. Bauer This document serves as slides and script for the workshop Applied Machine Learning taught by Paul C. Bauer (Gesis, Mannheim, Online, 20-23th of February 2024). Original material is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. Where I draw on other authors material other licenses may apply. Please note the information in the syllabus as well as the citations and links in the script. For potential future versions of this material see the github repository. If you have feedback or discover errors/dead links please let us … Read more →

7

Meta-Workflow

by Miao YU

2024-04-10
Meta-Workflow

This is a workflow for metabolomics studies. […] This is an online handout for mass spectrometry based metabolomics data analysis. It would cover a full reproducible metabolomics workflow for data analysis and important topics related to metabolomics. Here is a list of topics: This is a book written in Bookdown. You could contribute it by a pull request in Github. A workshop based on this book could be found here. Meanwhile, a docker image xcmsrocker is available for metabolomics reproducible research. R and Rstudio are the software needed in this … Read more →

8

MetaNet: Network Analysis for Omics Data

by Chen Peng

2024-03-30
MetaNet: Network Analysis for Omics Data

Chen Peng MetaNet is a comprehensive network analysis package, especially in various biological omics. Some functions of MetaNet are dependent with pcutils, so you also need to install pcutils. The stable version can be installed from CRAN: The latest development version can be found in https://github.com/Asa12138/MetaNet: For data manipulation, we recommend to use dplyr. MetaNet is a comprehensive network analysis R package for omics data: Support for integrated analysis for multi-omics data. Calculate correlation network quickly, accelerate lots of analysis by parallel computing. Handle … Read more →

9

Prediction and Feature Assessment

by Nicolas Städler

2024-03-25
 Prediction and Feature Assessment

Script for Analysis of High-Dimensional Data […] Prediction and Feature Assessment This script was written for the course on Analysis of High-Dimensional Data held at the University of Bern and the ETH Zurich. Much of the content is based on the book from Hastie, Tibshirani, and Friedman (2001). The course has a focus on applications using R (R Core Team 2023). All data sets used throughout the script can be downloaded from github. What are high-dimensional data and what is high-dimensional statistics? The Statistics Department of the University of California, Berkeley summarizes it as … Read more →

10

Everyday-R: Practical R for Data Science

by by Brian Jungmin Park

2024-03-20

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] Note: this book is a work in progress. All source code for this project are available on my GitHub, which is linked in 1.4. This book serves as a collection of R Markdown files helps users in learning the practical syntax and usage of R for data science. Mainly, code snippets and workflow aimed at tackling everyday tasks in data science will be covered, which includes data cleaning, data wrangling, iterations, machine ... Read more →

11

Introduction to Google Earth Engine

by Brendan Casey

2024-02-26

Introduction to Google Earth Engine […] https://courses.spatialthoughts.com/end-to-end-gee.html https://www.earthdatascience.org/tutorials/ https://developers.google.com/earth-engine/guides https://developers.google.com/earth-engine/tutorials/tutorials https://developers.google.com/earth-engine/datasets https://developers.google.com/earth-engine/tutorials https://github.com/samapriya/awesome-gee-community-datasets https://github.com/giswqs/Awesome-GEE Random forest classification time series charts Landsat derived forest disturbance … Read more →

12

Text Mining with R

by Julia Silge and David Robinson

2024-02-02
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 License. … Read more →

13

高效文献计量工具介绍与部署教程

by Austin Lee

2024-01-12

高效文献计量工具介绍与部署教程 […] 通过现成的爬取+可视化分析+GPT文档解析工具,协助你快速了解一个陌生的研究领域 :] 这是武大费组的一次组会专题材料,希望能对路过的大家有所裨益XD 由于没有留言模块,任何问题欢迎上Urbanplayground公众号后台交流~ 本工具通过模拟用户操作,自动且重复地从Web of Science (WOS)导出文献信息来用于文献计量。用户可以自由设置要导出的文档数量,选择不同的导出文件格式并重命名导出的文件。该工具的原始创建者是CSDN博主:Parzival_, 目前还没有找到他的Github账户。我的主要工作是优化原始代码并使用更新版本的工具和更常用的Google Chrome浏览器来实现操作。请在转载时包含此声明和所有来源链接。 main.py是主文件,必须下载。merge.py用来将导出的不同excel表内容融合到一张表内,按需下载。drive … Read more →

14

Data Science with R: A Resource Compendium

by Martin Monkman

2024-01-03
Data Science with R: A Resource Compendium

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 →

15

Introdução à Estatística

by Joaquim Gomes

2023-12-31

Um website dedicado ao ensino de estatística. […] Pode ser mudado depois: bookdown::render_book(“index.Rmd”) 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:{r eval=FALSE} install.packages(“bookdown”) # or the development version # devtools::install_github(“rstudio/bookdown”) 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 … Read more →

16

Advanced R Course

by Florian Privé

2023-08-22
Advanced R Course

This contains materials for the Advanced R course of the doctoral school of Grenoble, France. […] This material is licensed under the Creative Commons Attribution-ShareAlike 3.0 License. Florian Privé is a researcher in predictive human genetics, fond of Data Science and an R(cpp) enthusiast. He is also the founder and former organizer of the Grenoble R user group. You can find him on Twitter and GitHub as @privefl and on Stack Overflow as F. Privé. … Read more →

17

Towards building stock decarbonisation: A streamlined algorithm for Measurement and Verification at scale.

by MEng Student, Jamie Williams., MEng Student, Callum Robertson., PhD Student, Karla Gonzalez., Dr Massimiliano Manfren.

2023-07-27

Towards building stock decarbonisation: A streamlined algorithm for Measurement and Verification at scale. […] This project used Highfield Campus, Southampton, as a case study to demonstrate how the energy modelling process can be streamlined at scale. The algorithm shown is able to individually create 3 parameter change point models for each building in a large dataset simultaneously, whilst uniquely selecting the best fitting balance point for each. This document will explain how the code can be replicated or customised for use in other datasets. The full repository can be found on Github here. … Read more →

18

Targeted Learning in R

by Mark van der Laan, Jeremy Coyle, Nima Hejazi, Ivana Malenica, Rachael Phillips, Alan Hubbard

2023-07-07

An open source handbook for causal machine learning and data science with the Targeted Learning framework using the tlverse software ecosystem. […] Targeted Learning in R: Causal Data Science with the tlverse Software Ecosystem is an fully reproducible, open source, electronic handbook for applying Targeted Learning methodology in practice using the software stack provided by the tlverse ecosystem. This work is a draft phase and is publicly available to solicit input from the community. To view or contribute, visit the GitHub repository. The contents of this handbook are meant to serve as a … Read more →

19

Simulation Models of Cultural Evolution in R

by Alex Mesoudi

2023-06-24

This tutorial shows how to create very simple simulation or agent-based models of cultural evolution in R [...] This tutorial shows how to create very simple simulation or agent-based models of cultural evolution in R (R Core Team 2021). Currently these are: Each model is contained in a separate RMarkdown (Rmd) file. You can either (i) download each of these Rmd files from https://github.com/amesoudi/cultural_evolution_ABM_tutorial then open them in RStudio or another IDE, executing the code as you read the explanatory text, or (ii) read the online version of the tutorial at ... Read more →

20

Workshop: Interactive Data Analysis with Shiny

by Paul C. Bauer & Jonas Lieth

2023-06-23

Paul C. Bauer & Jonas Lieth This document serves as slides and script for the workshop Interactive Data Analysis with Shiny taught by Paul C. Bauer and Jonas Lieth (Gesis, Mannheim, Online, 5-7th of July 2023). Original material is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. Where we draw on other authors material other licenses may apply (see references in the syllabus as well as the citations and links in the script). For potential future versions of this material see the github repository. If you have feedback or discover errors/dead … Read more →

21

APIs for social scientists: A collaborative review

by Current editors: Paul C. Bauer, Camille Landesvatter, Lion Behrens Authors & contributors: Paul C. Bauer, Jan Behnert, Lion Behrens, Chung-hong Chan, Bernhard Clemm von Hohenberg, Lukas Isermann, Philipp Kadel, Melike N. Kaplan, Jana Klein, Markus Konrad, Barbara K. Kreis, Dean Lajic, Camille Landesvatter, Madleen Meier-Barthold, Grace Olzinski, Nina Osenbrügge, Ondrej Pekacek, Pirmin Stöckle, Malte Söhren, Domantas Undzėnas

2023-06-14

This book provides an introduction to different APIs that may be useful to social scientists. […] The present online book provides a review of APIs that may be useful for social scientists. Please start by reading the Introduction. The material was/is being developed by various contributors, which you can find above and in the contributor section of the corresponding github repository. If you are interested in contributing, please check out the Section How to contribute in the github README. The material is licensed under a Apache License 2.0 license. Where we draw on other authors’ … Read more →

22

R 语言学习笔记

by 黄湘云

2023-05-25

R 语言学习笔记 […] 本书采用 知识共享署名-非商业性使用-禁止演绎 4.0 国际许可协议 许可,请君自重,别没事儿拿去传个什么新浪爱问、百度文库以及 XX 经济论坛,项目中代码使用 MIT 协议 开源 本书 R Markdown 源文件托管在 Github 仓库里,本地使用 RStudio IDE 编辑,bookdown 组织各个章节的 Rmd 文件和输出格式,使用 Git 进行版本控制。每次提交修改到 Github 上都会触发 Travis 自动编译书籍,将一系列 Rmd 文件经 knitr 调用 R 解释器执行里面的代码块,并将输出结果返回,Pandoc 将 Rmd 文件转化为 md 、 html 或者 tex 文件。若想输出 pdf 文件,还需要准备 TeX 排版环境,最后使用 Netlify 托管书籍网站,和 Travis 一起实现连续部署,使得每次修改都会同步到网站。最近一次编 … Read more →

23

Bloomberg

by Rob Hayward

2023-05-17

This is an introduction to Bloomberg […] This is an introduction to using Bloomberg. It is a work in progress. Please let me know if you seen any typos, errors or omissions. You can also contribute to this project on github. You can contact me at rh49@brighton.ac.uk. Thanks to Timothy Crack from the University of Otago for pointing out some errors. Timothy has an excellent case study that uses the Bloomberg terminal for an Applied Investments case. You can find the details here: Bloomberg Equity Screening (EQS) Exercise: Benjamin Graham Value Investing There is an overview of the history of … Read more →

24

Workflow for Refining ClimateNA Temperature Predictions

by Brendan Casey

2023-03-30

Workflow for Refining ClimateNA Temperature Predictions […] Here are summaries of boosted regression trees that predict differences between ClimateNA temperature predictions and micro-climate conditions. Temperature offset layers and project spatial data can be viewed at https://bgcasey.users.earthengine.app/view/climateoffsets. Code and a description of the project’s workflow can be found at https://github.com/bgcasey/climate_downscaling. … Read more →

25

blogdown: Creating Websites with R Markdown

by Yihui Xie, Amber Thomas, Alison Presmanes Hill

2023-03-17
blogdown: Creating Websites with R Markdown

A guide to creating websites with R Markdown and the R package blogdown. […] A note from the authors: Some of the information and instructions in this book are now out of date because of changes to Hugo and the blogdown package. If you have suggestions for improving this book, please file an issue in our GitHub repository. Thanks for your patience while we work to update the book, and please stay tuned for the revised version! In the meantime, you can find an introduction to the changes and new features in the v1.0 release blog post and this “Up & running with blogdown in 2021” blog post. … Read more →

26

My Friend Mili

by Selin Türkkan

2023-03-15
My Friend Mili

A collection of future scenarios based on different themes and scenario archetypes. […] Cover design: Berna Görgülü This book was generated by Naim Çınar in Markdown, using R version 3.6.3 The bookdown package can be installed from CRAN or Github: This book is hosted on Bookdown This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Citing the book As the structure of the book’s chapters and sections may change, links should only use the base URL https://bookdown.org/naimcinar/future-scenarios/. The full reference of this book is: … Read more →

27

Statistical Thinking: A Simulation Approach to Modeling Uncertainty (UM STAT 216 edition)

2022-12-01
Statistical Thinking: A Simulation Approach to Modeling Uncertainty (UM STAT 216 edition)

Statistical Thinking: A Simulation Approach to Modeling Uncertainty (UM STAT 216 edition) […] This book is a modified version of the work below: Zieffler, A., & Catalysts for Change. (2019). Statistical Thinking: A simulation approach to uncertainty (4.2th ed.). Minneapolis, MN: Catalyst Press. http://zief0002.github.io/statistical-thinking/ This work is licensed under a Creative Commons Attribution 4.0 International License. You are free to share, remix, and make commercial use of the work under the condition that you provide proper attribution. To reference this work, use: The work to … Read more →

28

Publicando um e-book com o bookdown

by João B. Tolentino Jr.

2022-11-09
Publicando um e-book com o bookdown

Este material destina-se a explicar a publicação de um e-book com o pacote bookdown no formato gitbook […] O pacote bookdown, de autoria de Yihui Xie, combina a simplicidade da linguagem R Markdown com as funcionalidades do (Pandoc)[https://pandoc.org/]. Segundo o autor, sua utilização é adequada para escrever livros, artigos longos ou informes, sendo as principais funcionalidades: E tudo isso com um visual, no mínimo, agradável. O principal estilo é o GitBook. O pacote bookdown pode ser instalado do CRAN ou Github: A documentação completa pode ser encontrada em bookdown: Authoring Books … Read more →

29

PreProcSEQ: Pipeline for pre-processing RNA-Seq data

by Jean S. S. Resende and Mauro A. A. Castro

2022-10-13

Vignette for the PreProcSEQ pipeline […] Introducing the PreProcSEQ pipeline, a pipeline that takes the first steps necessary for analyzing RNA-Seq data. We cover everything from quality control (QC) to the construction of the gene expression matrix, covering essential topics for removing technical effects such as normalization and batch effect removal. The repository GitHub - resendejss contains the scripts and directory structure for the pipeline execution. … Read more →

30

UG Quantitative Methods in the Social Sciences lab workbook

by by J Rafael Verudzco Torres and Mark Wong

2022-10-05
UG Quantitative Methods in the Social Sciences lab workbook

This is the workbook you will use for the Quantitative Methods in the Social Sciences lab sessions. […] Welcome to the Quantitative Methods in the Social Sciences lab! This workbook is targeted to University of Glasgow students enrolled in the Undergraduate Quantitative Research Methods course of the School of Social & Political Sciences. The activities are designed for RStudio Cloud. The book was written using R bookdown package based on the GitHub repository: https://github.com/rstudio/bookdown-demo. The online version of this book is licensed under the Creative Commons … Read more →

31

Model Based Sampling with EMC2 - Extended Models of Choice

by Reilly Innes, Niek Stevenson, Russell Boag, Andrew Heathcote

2022-09-12

This bookdown provides a tutorial on how to use EMC2. […] This project provides a tutorial for learning about cognitive models, namely evidence accumulation models (EAMs), their implementation and their applications. The tutorial was prepared by Andrew Heathcote, Dora Matzke, Russell Boag, Niek Stevenson and Reilly Innes. The GitHub repository for this project can be found here. The accompanying samples for the code provided here can be found at here. Throughout this guide, we’ll use some complex terminology for different aspects of modelling. We know that models exist, and in particular, … Read more →

32

Técnicas de Remuestreo

by Ricardo Cao Abad (rcao@udc.es) y Rubén Fernández Casal (rfcasal@udc.es)

2022-09-05

Apuntes de la asignatura de Técnicas de Remuestreo del Máster en Técnicas Estadísticas. […] Este libro contiene los apuntes de la asignatura de Técnicas de Remuestreo del Máster en Técnicas Estadísticas. Este libro ha sido escrito en R-Markdown empleando el paquete bookdown y está disponible en el repositorio Github: rubenfcasal/book_remuestreo. Se puede acceder a la versión en línea a través del siguiente enlace: https://rubenfcasal.github.io/book_remuestreo. donde puede descargarse en formato pdf. Para ejecutar los ejemplos mostrados en el libro será necesario tener instalados los … Read more →

33

R para Psicólogos

by Cainã, Martins, Jaloto e Dinardi

2022-08-25

Esse é o começo de um projeto lindo!. […] ESSA PARTE VAI MUDAR 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 →

34

Reproducible Science for Busy Researchers: How to Save Time using Literate Programming

by Dr. Andrew P. Lapointe

2022-08-23

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] Signe recommended students run a live tutorial in swirl Google Analytics https://benmarwick.github.io/bookdown-ort/mods.html#google-analytics These resources are not relevant for students but they are to me. To render the book used the following code, you must do this before knitting the GitBook (webpage) The _output.yml contains the header arguments. I would but them here so its cleaner and easier to read the code. Is there a way I can have matlab code … Read more →

35

Translational Bioinformatics with R

by Zhaojie Zhang

2022-08-05

This is a book of using R in Translational Bioinformatics. The output format for this example is bookdown::gitbook […] This book is written and rendered using the bookdown package, which can be installed from CRAN or Github: Two key steps to render the Book from the Github repo “gongchang/TBioR” and deploy it to bookdown.org: #{r} #bookdown::render_book(“index.Rmd”, “bookdown::gitbook”) #bookdown::publish_book() … Read more →

36

Data-driven publishing: Reproducible research with R, Quarto, and Github

by Arthur Small

2022-06-09

Arthur Small This course introduces tools and concepts of literate programming. Literate programming is an approach to creating documents that smoothly integrates data, code, and narrative writing. All analysts need to present their results in multiple formats: articles, slide decks, web sites, and so on. Traditional workflows for creating and publishing documents rely heavily on manual workflows, e.g., copy-and-paste. Traditional workflows are poorly suited to data-intensive analytic projects. This course will provide an introduction to an entirely different and better approach to scientific … Read more →

37

Annalyse de données

by Abdoul Oudouss Diakite, Othmane ETTADLAOUI

2022-06-09
Annalyse de données

Ce projet d’analyse de donnés consiste à l’explication de différentes manières le nombre de crime aux Etats-Unis. […] Ce projet d’analyse de donnés consiste à l’explication de différentes manières du nombre de crime aux Etats-Unis. Pour se faire, nous disposons d’un jeu de disponible sur GitHub que nous appellerons Comminities(Télécharger) dorénavant. Le jeu de données dispose de 147 variables pour 2215 observations. Les valeurs manquantes sont représentées par “?”. De nombreuses variables sont incluses afin que les algorithmes qui sélectionnent ou apprennent les poids des attributs … Read more →

38

Supervised Machine Learning for Text Analysis in R

by Emil Hvitfeldt and Julia Silge

2022-05-11
Supervised Machine Learning for Text Analysis in R

This is the website for Supervised Machine Learning for Text Analysis in R! Visit the GitHub repository for this site, or buy a physical copy from CRC Press, Bookshop.org, or Amazon. This online work by Emil Hvitfeldt and Julia Silge is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International … Read more →

39

A Rishi Bookdown Book

by Rishi Goutam

2022-04-25
A Rishi Bookdown Book

Everything you need (and nothing more) to start a bookdown book. […] This is the very first part of the book. I am using RStudio with the bookdown package for creating this book. Sean Kross’s blog article was extremely helpful in getting me to understand how this works with GitHub Pages for automatic hosting. 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 … Read more →

40

Pengelompokan Kualitas Hidup Komuter dengan K-Means Clustering

by Rezky Yayang Yakhamid

2022-04-02

Syntax R berikut ini diajukan sebagai jawaban ujian akhir semester (UAS) tidak terstruktur yang diujikan Politeknik Statistika STIS mata kuliah Data Mining (Semester 7) tahun 2021. Diselesaikan pada tanggal 13 Desember 2021 dan dirapikan kembali pada tanggal 1 April 2021 sebagai bahan belajar. Dataset yang digunakan dalam syntax ini dapat dilihat di https://github.com/rezkyyayang/syntax/tree/main/K_Means_Kepuasan_Hidup_Komuter/ Semoga bermanfaat. Komuter adalah seseorang yang melakukan perjalanan ulang-alik dalam satu hari (pergi dan pulang) secara terus menerus yang biasanya oleh karena … Read more →

41

Outstanding User Interfaces with Shiny

by David Granjon

2022-03-14
Outstanding User Interfaces with Shiny

A book about deeply customizing Shiny app for production. […] By Kenton Russel aka @timelyportfolio Since the initial commit (https://github.com/rstudio/shiny/commit/e28b3da1badfecb34235e74a43aac4e8da1641bc) of Shiny in June 2012, the project has grown rapidly with users around the world across nearly every domain. Until 2021, strangely though, there was nearly zero comprehensive resources collecting the scattered wisdom and experience of thousands of Shiny users and developers into a single definitive resource. While, Hadley Wickham’s Mastering Shiny book (Hadley 2021) focuses on providing … Read more →

42

R 로 하는 Mixed Model

by Michael Clark m-clark.github.io Translator : 김설기

2022-02-28
R 로 하는 Mixed Model

This is an introduction to using mixed models in R. It covers the most common techniques employed, with demonstration primarily via the lme4 package. Discussion includes extensions into generalized mixed models, Bayesian approaches, and realms beyond. […] Michael Clark m-clark.github.io Translator : 김설기 … Read more →

43

Comparative Methods

by Brian O’Meara

2022-02-28

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 →

44

R for Data Science - 한국어

by 해들리 위컴, 개럿 그롤문드, 번역-김설기, 최혜민

2022-02-17
R for Data Science - 한국어

A book created with bookdown. […] 이 곳은 해들리 위컴과 개럿 그롤문드의 책 “R for Data Science” 의 한국어 번역 (번역: 김설기, 최혜민)입니다. 원어 웹북이 현재 2판 업데이트되고 있으며, 이에 따라 본 한국어웹북도 업데이트 중입니다. 본 웹북은 RMarkdown 과 bookdown 으로 작성되었으며, 소스코드는 https://github.com/sulgik/r4ds 입니다. 영문의 연습문제해답도 볼 수 있습니다. 종이책(1판)은 알라딘 등에서 구입할 수 … Read more →

45

My Website

by joao_msoutomaior

2022-02-16

Hello, Website! For more information about simple R Markdown websites, please read the documentation at https://bookdown.org/yihui/rmarkdown/rmarkdown-site.html. Please also note that simple R Markdown sites are not based on blogdown. They are probably good for websites with only a few Rmd documents. For larger-scale and more sophisticated websites (such as blogs), you may want to use blogdown instead: https://github.com/rstudio/blogdown. … Read more →

46

Machine Learning for Imbalanced Datasets

by Nana Boateng

2021-12-14

This is a machine learning textbook for dealing with imbalanced datasets […] 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: {r eval=FALSE}install.packages(“bookdown”) # or the development version # devtools::install_github(“rstudio/bookdown”) 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 … Read more →

47

R: বাংলায় পরচিতি

by Mohammad Shamim Hasan Mandal

2021-10-30

Written in Bengali, this book is an introductory textbook. […] description: “This is a minimal bookdown demo. It shows the basics of …” github-repo: “rstudio/bookdown-demo” cover-image: “images/cover.png” ** WORK IN PROGRESS ** এই বইটি শেরেবাংলা কৃষি বিশ্ববিদ্যালয়ের কম্পিউটার ক্লাব আয়োজিত R(আর) পরিচিত ক্লাসের জন্য। বইটি আর মার্কডাউন (rmarkdown) দিয়ে লেখা। বইটির লেখায় কোথায় ভুল পেলে অথবা বইটি সম্পর্কে আপনার মতামত জানাতে Email এই বইটি R(আর) সম্পর্কে প্রাথমিক ধারণা দেওয়ার জন্য তৈরি করা হয়েছে। কম্পিউটার প্রোগ্রামিং একটি বড় বিষয়, R(আর) একটি কম্পিউটার প্রোগ্রাম সুতরাং শুধুমাত্র প্রোগ্রামিং নিয়েই অনেক পড়ার সুযোগ রয়েছে। এই বইটির … Read more →

48

Scenarios for the Future: The Classroom’s Perspective

by Naim Çınar

2021-08-19
Scenarios for the Future: The Classroom’s Perspective

A collection of future scenarios based on different themes and scenario archetypes. […] Cover design: Berna Görgülü This book was generated by Naim Çınar in Markdown, using R version 3.6.3 The bookdown package can be installed from CRAN or Github: This book is hosted on Bookdown This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Citing the book As the structure of the book’s chapters and sections may change, links should only use the base URL https://bookdown.org/naimcinar/future-scenarios/. The full reference of this book is: … Read more →

49

Physical Geology

by Karla Panchuk, Steven Earle, and contributors (GitHub/bookdown version maintained by Dewey Dunnington)

2021-08-14

“Physical Geology”, adaptaed from Physical Geology: First University of Saskatchewan Edition […] Physical Geology is a comprehensive introductory text on the physical aspects of geology, including rocks and minerals, plate tectonics, earthquakes, volcanoes, mass wasting, climate change, planetary geology and much more. It has a strong emphasis on examples from western Canada. It is adapted from “Physical Geology” written by Steven Earle for the BCcampus Open Textbook Program, and “Physical Geology, First University of Saskatchewan Edition” by Karla Panchuk. The GitHub/bookdown version of … Read more →

50

A Quick Introduction to bbsBayes

by Adam C. Smith, and Brandon P.M. Edwards

2021-08-11

This is a document to support a ~2hr workshop. […] This is a 2-hour introductory workshop/demonstration of the R-package bbsBayes (https://github.com/BrandonEdwards/bbsBayes). This package allows anyone to apply the hierarchical Bayesian models used to estimate status and trends from the North American Breeding Bird Survey. The package also lets the user generate a suite of alternative metrics using the existing model output from the annual CWS analyses. Everyone is welcome! Some familiarity working with R is required if you’d also like to run the code yourself during the workshop, and the … Read more →

51

Curso R 2021

by Roberto C. Duarte

2021-06-01

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 →

52

Data Visualization with PowerBI

by Mohamed Kassem

2021-04-27

This course is intended for educational puposes & preparing Data analysts for Exam DA-100: Analyzing Data with Microsoft Power BI : Creating reports […] This course is intended for educational purposes & preparing Data analysts for Exam DA-100: Analyzing Data with Microsoft Power BI : Creating reports All the needed resources to follow along can be found here https://github.com/Mkassem16/NycTaxiPBI. Creating basic PowerBI reports knowledge is prerequisite for this course. By the end of this course Data Analysts should be able to: + Customize Report pages. + Decide for appropriate … Read more →

53

Statistical Thinking: A Simulation Approach to Modeling Uncertainty (UM STAT 216 edition)

2021-04-21
Statistical Thinking: A Simulation Approach to Modeling Uncertainty (UM STAT 216 edition)

Statistical Thinking: A Simulation Approach to Modeling Uncertainty (UM STAT 216 edition) […] This book is a slightly modified version of the work below: Zieffler, A., & Catalysts for Change. (2019). Statistical Thinking: A simulation approach to uncertainty (4.2th ed.). Minneapolis, MN: Catalyst Press. http://zief0002.github.io/statistical-thinking/ This work is licensed under a Creative Commons Attribution 4.0 International License. You are free to share, remix, and make commercial use of the work under the condition that you provide proper attribution. To reference this work, use: The … Read more →

54

Github actions with R

by Chris Brown, Murray Cadzow, Paula A Martinez, Rhydwyn McGuire, David Neuzerling, David Wilkinson, Saras Windecker

2021-04-09

An introduction to using github actions with R. […] GitHub actions allow us to trigger automated steps after we launch GitHub interactions such as when we push, pull, submit a pull request, or write an issue. For example, there are actions that will automatically trigger: GitHub actions follow the steps designated in a yaml file, which we place in the .github/workflows folder of the repo. We can add these yaml files to our repo either by clicking on a series of steps on GitHub.com, or using wrapper functions provided by the usethis package, depending on which actions you wish to include. We … Read more →

55

Probabilistic Effects of a Play-In Tournament

by Joe Siwinski

2021-02-22

This is an analysis designed to view team playoff probability differences when a play-in tournament is put into place. […] In 2020, we saw the first ever NBA season that held a play-in tournament for the final 8th seed in both conferences. While the tournament was fun to watch, it made me think about the objective of this project: How does a play-in tournament effect the preseason playoff odds of teams? The code for this project can be found in my Github Repository at https://github.com/jsiwinski/Play-In-Tourney. In this bookdown, I will analyze the probabilistic effects of a play-in … Read more →

56

Dispersing or clustering: Spatial Pattern Analysis for Public Use and Taxi’s Rapid Charging Facilities in London, UK

by Student Number: 19175131

2021-01-08

This is a tutorial book with R Markdown for CASA0005 final coursework containing code and instruction of the whole analyzing process. Course name: CASA0005 Geographic Information Systems and Science Program: MSc Spatial Data Science and Visualisation Department: Centre for Advanced Spatial Analysis GitHub repository: https://github.com/LingruFeng/GIS_assessment Rpubs link: https://rpubs.com/Lingru/GIS_assessment … Read more →

57

MedTech Foundation Spoke Guide

by MedTech Foundation

2020-12-05

A guide to run MedTech Foundation Spokes […] Welcome! This document is created to address the questions that you may have about running a spoke. Thus, it will only serve its purpose if we share what issues you may be facing and the document is set up in such a way that anyone can make an edit. Click on the fourth button from left to right to make an edit (you may need to register a GitHub account first). If you have any questions or want to suggest an edit without a GitHub account, please feel free to email programmedirector@medtechfoundation.org. … Read more →

58

Advanced Environmental Data Management

by Donnie Day

2020-12-02

Advanced Environmental Data Management […] This book template is what I learned from Advanced Data Management. Sean Kross has a much better template on GitHub. A few things you may want to do before building the book: Once you have everything in one place, do the following: We have now completed a book using a basic template. For more options, consult the book by Yihui … Read more →

59

Practical Data Science

by Michael Clark

2020-10-12
Practical Data Science

The focus of this document is on data science tools and techniques in R, including basic programming knowledge, visualization practices, modeling, and more, along with exercises to practice further. In addition, the demonstrations of most content in Python is available via Jupyter notebooks. […] Michael Clarkhttps://m-clark.github.io/ … Read more →

60

behaviouR: R package and tutorials for teaching of fundamental concepts in behavior and ecology

by Dena J. Clink

2020-08-27

This is the location for all of the tutorials associated with the behaviouR R package. […] To get started you should download the package from Github using the following code. Note: If you have never used R before I highly recommend that you check out the primers here: https://rstudio.cloud/learn/primers. You can navigate using the tabs at the left and/or the … Read more →

61

Exercises for ‘Introduction to The New Statistics’

by Peter Baumgartner

2020-08-02
Exercises for ‘Introduction to The New Statistics’

This website is a companion book for Introduction to the New Statistics (abbreviated itns). It offers interactive exercises developed mostly in H5P but also with learnr and shiny. It also contains an R tutorial for the end-of-chapter exercises of itns. […] This website is an (inoffical) companion book for Introduction to the New Statistics (abbreviated itns). It offers GitHub resources of this book can be found in two places: I have built the interactive exercises in this book with H5P.org. H5P stands for HTML5 Package, a free and open-source content collaboration framework based on … Read more →

62

資料科學與R語言

by 曾意儒 Yi-Ju Tseng

2020-07-20

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 →

63

R for Data Science: Exercise Solutions

by Jeffrey B. Arnold

2020-07-19

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 →

64

UI-UX

by E.Major Taiwan

2020-06-15

學習並瞭解網頁設計與網頁服務的UI-UX,最終結合社會科學與科技技能,運用所學發展跨領域的服務項目。 […] 每一章架構如下: 學習主題列點 各主題內容 課後練習 每章針對學習主題內容錄製20-30分鐘講解影片。(因為影片不長,每章內容要求精簡,但課後練習可以有兩題,一題簡單,一題難要進一步自學找答案。) 使用自己的電腦或系上多媒體室。 錄製技術採傳承製:前一章在錄時,下一章的人在旁協助或觀看。 上傳Vimeo 每週五只針對課後練習討論,成員(含USR人員)在上課前要自己看完影片及做好課後練習 練習結果請放在自己的Github練習repo裡(練習repo由https://github.com/tpemartin/uiux-inclass-practice fork回去) … Read more →

65

滴滴实验白皮书

by 统计科学部

2020-06-09

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] 这是陈天威的一个test 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): … Read more →

66

Climate-related Risk to European Fish and Fisheries

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

2020-05-14

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 →

67

R for data science: tidyverse and beyond

by Maxine

2020-05-10

R for data science: tidyverse and beyond […] 关于 R for Data Science (Wickham and Grolemund 2016) 的个人笔记,随缘更新。任何建议:https://github.com/enixam/rfordatascience/issues 或 565702994@qq.com tidyverse … Read more →

68

A notebook Paper Causal Effect Inference with Deep Latent-Variable Models

by Trong-Thang Pham

2020-04-12

This is a notebook I write about CEVAE original paper. […] This is a notebook I write about CEVAE original paper (Louizos et al. 2017). Some grammar mistakes are going to be made. The authors’ source code: https://github.com/AMLab-Amsterdam/CEVAE Here is some background knowledge that will help you to understand the whole paper. cond() is a notation I made up to stand for “is conditioned on”. For example, y is conditioned on x, then I call it y cond(x). Actually using y|x is more elegant but if we talking normally without the y, using | or |x is too short, in my opinion. do() is represented … Read more →

69

PostgreSQL Explained for R-Users and R-Programmers

by Ben Gonzalez

2020-03-06

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 →

70

An Introduction to Machine Learning with R

by Laurent Gatto

2020-02-28

An hands-on introduction to machine learning with R. […] This course material is aimed at people who are already familiar with the R language and syntax, and who would like to get a hands-on introduction to machine learning. This material is currently under development and is likely to change in the future. A set of packages that are used, either directly or indirectly are provided in the first chapter. A complete session information with all packages used to compile this document is available at the end. The source code for this document is available on GitHub at https://github.com/lgatto/IntroMac … Read more →

71

Grand Slam Heroes

by Ganesh Viswanathan and Roma Dutta

2019-12-09

Grand Slam Heroes […] “The Open Era is the current era of professional tennis. It began in 1968 when the Grand Slam tournaments allowed professional players to compete with amateurs, ending the division that had persisted since the dawn of the sport in the 19th century.” - Wikipedia Github Link: https://github.com/ganesh2512/finalProject Rstudio Cloud Link: https://rstudio.cloud/project/704614 Bookdown Link: https://bookdown.org/rdutta4/bookdown-grandslam/ ShinyAppsIOLink: https://ganesh-viswanathan.shinyapps.io/finalProjectShiny/ Data source Link: https://github.com/rfordatascience/tidytues … Read more →

72

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 →

73

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 →

74

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 →

75

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 →

76

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 →

77

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 →

78

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 →

79

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 →

80

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 →

81

«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 →

82

«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 →

83

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 →

84

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 →

85

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 →

86

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 →

87

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 →

88

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 →

89

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 →

90

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 →

91

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 →

92

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 →

93

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 →

94

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 →

95

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 →

96

Analyzing Single-Case Data with R and Scan

by Jürgen Wilbert

2024-05-23*
Analyzing Single-Case Data with R and Scan

Jürgen Wilbert Version 23.11 (build 4) Hello everyone! I am delighted to see that you have discovered this book, as it indicates that you are starting to explore the scan package. While scan has undergone extensive development, this book is still a work in progress (approximately 44% complete). I am continuously working on expanding its content. Currently, there is no official release version available; only this draft, which may contain errors. If you have any suggestions for improving the book, wish to report bugs, or provide comments, feedback, and more, please visit the GitHub repository … Read more →

97

Aprendizaje Estadístico

by Rubén Fernández Casal (ruben.fcasal@udc.es), Julián Costa Bouzas (julian.costa@udc.es), Manuel Oviedo de la Fuente (manuel.oviedo@udc.es)

2024-05-23*

Apuntes de la asignatura de Aprendizaje Estadístico del Máster en Técnicas Estadísticas. […] Este libro contiene los apuntes de la asignatura de Aprendizaje Estadístico del Máster en Técnicas Estadísticas. Este libro ha sido escrito en R-Markdown empleando el paquete bookdown y está disponible en el repositorio Github: rubenfcasal/aprendizaje_estadistico. Se puede acceder a la versión en línea a través del siguiente enlace: https://rubenfcasal.github.io/aprendizaje_estadistico. donde puede descargarse en formato pdf. Para ejecutar los ejemplos mostrados en el libro sería necesario tener … Read more →

98

Bayesian Basics

by Michael Clark m-clark.github.io

2024-05-23*
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. […] Michael Clark m-clark.github.io … Read more →

99

Generalized Additive Models

by Michael Clark m-clark.github.io

2024-05-23*
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. […] Michael Clark m-clark.github.io … Read more →

100

Introduction to Data Science

by Rafael A. Irizarry

2024-05-23*
Introduction to Data Science

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 →

101

ISLR tidymodels labs

by Emil Hvitfeldt

2024-05-23*

Emil Hvitfeldt This book aims to be a complement to the 2nd edition An Introduction to Statistical Learning book with translations of the labs into using the tidymodels set of packages. The labs will be mirrored quite closely to stay true to the original material. All listed changes will be relative to the 1st edition. This book was written in RStudio using Quarto. The website is hosted via GitHub Pages, and the complete source is available on GitHub. This version of the book was built with R version 4.3.1 (2023-06-16) and Quarto version 1.4.104 and the following … Read more →

102

Mixed Models with R

by Michael Clark m-clark.github.io

2024-05-23*
Mixed Models with R

This is an introduction to using mixed models in R. It covers the most common techniques employed, with demonstration primarily via the lme4 package. Discussion includes extensions into generalized mixed models, Bayesian approaches, and realms beyond. […] Michael Clark m-clark.github.io … Read more →

103

officeverse

by David Gohel

2024-05-23*

A book on the use of the packages of officeverse, a set of packages for producing Office reports with the R language. […] This book deals with reporting from R with the packages ‘officer’, ‘officedown’, ‘flextable’, ‘rvg’ and ‘mschart’. These packages are available from CRAN or from github in their development version. These packages have been developed to facilitate the production of Word documents and PowerPoint presentations from and with R. It was written specifically to offer a competitive solution to SAS ODS for tabular and graphical reporting. ‘officer’ is written to generate Word or … Read more →

104

rOpenSci Packages: Development, Maintenance, and Peer Review

by rOpenSci software review editorial team (current and alumni): Brooke Anderson, Scott Chamberlain, Laura DeCicco, Julia Gustavsen, Jeff Hollister, Anna Krystalli, Mauro Lepore, Lincoln Mullen, Mark Padgham, Karthik Ram, Emily Riederer, Noam Ross, Maëlle Salmon, Adam Sparks, Melina Vidoni

2024-05-23*

Guide for package authors, maintainers, reviewers and editors in rOpenSci software peer-review system. 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 →

105

statsthinking21

2024-05-23*

Main web site for Statistical Thinking for the 21st Century A commercially published version of this book (with an expanded version of Chapter 17) is now available from Princeton University Press: Statistical Thinking: Analyzing Data in an Uncertain World The open source version of the book is available in English and Spanish. Code to generate all of the figures and tables from the commercial version of the book is available in Python and R. Companions to the book for statistical programming are available for Python and R This project is maintained by statsthinking21 Hosted on GitHub Pages — … Read more →

106

Técnicas de Simulación y Remuestreo

by Rubén Fernández Casal (ruben.fcasal@udc.es), Ricardo Cao (rcao@udc.es), Julián Costa (julian.costa@udc.es)

2024-05-23*

Apuntes de Simulación Estadística y Remuestreo. […] Este libro, en proceso de elaboración, contiene los apuntes de la asignatura de Simulación Estadística del Máster en Técnicas Estadísticas y material de apoyo a la docencia de la asignatura de Técnicas de Simulación y Remuestreo del Grado en Ciencia e Ingeniería de Datos de la UDC. Este libro ha sido escrito en R-Markdown empleando el paquete bookdown y está disponible en el repositorio rubenfcasal/simbook de Github. Este libro es una “segunda edición”, la anterior (Fernández-Casal R. y Cao R., 2022, Simulación Estadística) está disponible … Read more →

107