This bookdown contains the teaching materials for the projectcourse Financial Data Science at the LMU Munich. The files have been set up by Lisa Kaminski. [...] Here you will find supporting material on how to write academically. This guide is a generalized framework for seminar reports, bachelor and master theses. Disclaimer: The following guidelines should not be seen as static set of immutable rules, but rather as a profound and generic guideline. This guide is subject to constant revision and extension! If you come across missing subjects, redundancies or inconsistencies, we are ... Read more →

This is a guide on how to conduct data analysis in the field of data science, statistics, or machine learning. […] 1. APA (7th edition): Nguyen, M. (2020). A Guide on Data Analysis. Bookdown. https://bookdown.org/mike/data_analysis/ 2. MLA (8th edition): Nguyen, Mike. A Guide on Data Analysis. Bookdown, 2020. https://bookdown.org/mike/data_analysis/ 3. Chicago (17th edition): Nguyen, Mike. 2020. A Guide on Data Analysis. Bookdown. https://bookdown.org/mike/data_analysis/ 4. Harvard: Nguyen, M. (2020) A Guide on Data Analysis. Bookdown. Available at: https://bookdown.org/mike/data_analysis/ … Read more →

A book created with bookdown. […] This book provides an introduction to R and also serves as a first course in the study of experimental design and applied statistical analysis. We only assume a basic understanding of statistics, but no prior knowledge of R. The first few sections of this book will guide you through the installation of R and RMarkdown, and introduce you to the syntax of R and RMarkdown, functions, data types, and basic data visualization. We will then review statistical concepts needed and discuss experiment design, data collection, how to import and export data, and data … Read more →

This guide is a comprehensive resource for contributing to base R for both new and experienced contributors. … Read more →

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 →

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 →

This is a methodological documentation on compilation of UNCTAD Gender-in-Trade indicators. […] This is a methodological guide for compilation of UNCTAD Gender-in-Trade indicators. Following R packages should be installed and … Read more →

Ce livre présente les principes fondamentaux de la statistique descriptive, en mettant l’accent sur les aspects univariés, bivariés et la description des séries chronologiques [...] Ce livre est conçu pour vous guider à travers les principes fondamentaux de la statistique descriptive, en mettant l’accent sur les aspects univariés, bivariés et les séries chronologiques. Ce livre s’adresse aux étudiants, aux professionnels et à toute personne intéressée par l’analyse des données et la compréhension des concepts de base de la statistique descriptive. Aucune connaissance préalable en ... Read more →

This is a working document that will eventually become the official textbook for all of Dr. Alex P. Leith’s MC 451 course at Southern Illinois University Edwardsville. […] Welcome to “Quantitative Research in Mass Communications: R and RStudio,” a comprehensive guide designed to navigate the intricate pathways of quantitative research in the ever-evolving field of mass communications. This textbook is a culmination of my journey in academia and a reflection of my commitment to advancing the understanding of mass communication research methods, particularly through the lens of quantitative … Read more →

The main manual for the QCA package in R […] The initial idea to write this book emerged in August 2016, with the intention to update the description of package QCA in R. A lot of things have changed since the appearance of the previous user guide four years before, when the package reached version 1.0-0. Most of the commands are backwards compatible, meaning that all examples from the previous guide still work with the current version of the package. There are some minor but important differences, for instance the function calibrate() has its default changed from type = “crisp” to type = … Read more →

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 →

This is a guide on how to conduct Meta-Analyses in R. […] Welcome to the online version of “Doing Meta-Analysis with R: A Hands-On Guide”. This book serves as an accessible introduction into how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for publication bias, risk of bias assessments and plotting tools. Advanced, but highly relevant topics such as network meta-analysis, multi-/three-level meta-analyses, Bayesian … Read more →

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 →

This is the seminar handbook for conducting research which outlines the weekly tasks for each seminar […] This module aims to develop student’s knowledge and understanding of scientific randomised controlled trials, including the techniques used to minimise bias by randomising participants, blinding participants, assessors and/or statisticians, selecting an appropriate control arm and other key methodological features. Students will learn how to devise a protocol in accordance with good reporting guidelines and how to use advanced analytical techniques to generate results and aid in the … Read more →

Sangyoung Jung This application can help data analysis for the meta analysis and data visualization including forest plots and geographical frequency maps. It offers four key benefits: Data Cleaning and Check: The application not only cleanses datasets, preparing elements such as author names for meta-analysis, but also assists in identifying missing values and outliers during data checks. Meta-analysis Model Fitting: It is capable of conducting meta-analysis and moderator analysis with detailed statistics and diagnostic plots. Data Visualization: The application supports data visualization, … Read more →

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 →

Sangyoung Jung Welcome to the “Guideline for EGM Shiny Application.” This guide is meticulously crafted to support you in three critical areas: Data Verification - Dive deep into your data to identify missing values, spot outliers (such as unrealistic publication years), and rectify mismatches in intervention and outcome codes within DEP and EGM frameworks. Chapter 1, Chapter 2, Chapter 3 Visualization - Transform your dataset into insightful visual narratives, from detailed country maps to dynamic charts that illuminate the nexus between interventions and outcomes. Chapter 4 Advanced … Read more →

This textbook provides a comprehensive set of exercises for practicing all major Psychometric techniques using R and RStudio. Each exercise includes a worked example illustrating data analysis steps and teaching how to interpret results and make analysis decisions, and self-test questions that readers can attempt to check own understanding. […] This textbook provides a comprehensive set of exercises for practicing all major Psychometric techniques using R and RStudio. The exercises are based on real data from research studies and operational assessments, and provide step-by-step guides that … Read more →

Addenda to Introduction to Environmental Data Science, including case studies, extending methods into more experimental areas, and guides for building packages and RMarkdown documents (essentials based on experience and methods from various sources). […] The purpose of this bookdown book is to provide Addenda to Introduction to Environmental Data Science, at https://bookdown.org/igisc/EnvDataSci/ to include case studies, extended and experimental methods, and guides for building packages and RMarkdown documents. It’ll serve as a sandbox for exploring methods, some of which will make it into … Read more →

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 →

A study guide for the Alice A. Bailey book “Esoteric Healing,” fourth volume of the Treatise on the Seven Rays, the first three volumes being Esoteric Psychology I, Esoteric Psychology II, and Esoteric Astrology. The fifth and final volume is The Rays and the Initiations (14 advanced rules for group initiation, expanding on the 14 rules initially given in the book Initiation, Human and Solar). […] “The intertwining of the natural (the explainable) and supernatural, defined as the unexplainable, in the interpretation of suffering and disease has been at the heart of the healing professions … Read more →

This is a step-by-step guide for the presentation by R-Ladies Melbourne for “It takes a spark” on 17-Nov-23, [...] Caitlin, Dionne, and Lauren are from R Ladies Melbourne, and we are here because we want to teach you how to program in R! R-Ladies is a world-wide organisation whose mission is to promote gender diversity in the R community. See the R-Ladies global website or R-Ladies Melbourne for more information! Coding is writing instructions that a machine or computer can understand to perform a task. R is a programming language and free software environment for statistical ... Read more →

Peter Baumgartner This Quarto book collects my personal notes, trials and exercises of the A Student’s Guide to Bayesian Statistics by Ben … Read more →

This is a blueprint of an introduction to R. […] Welcome to the world of data analysis! “Introduction to R in Data Analytics” is your friendly guide to understanding how to use the R programming language for playing with data. If you’re new to this, don’t worry - we’ve got you covered. This book takes you step by step, teaching you how to make sense of data using R. We’ll show you how to organize information, create cool charts and graphs, and even predict trends from data. You’ll learn all about the powerful tools that R offers for understanding numbers and patterns in data. But we won’t … Read more →

R for Applied Economics: A Beginner’s Guide […] Welcome to the R guide! This is a work in progress. I’ll continue to update it as the quarter goes along, and I appreciate your feedback about how I can make it most helpful. Please email me (mbrown35@stanford.edu) if you have comments or suggestions about this guide, or you can always mention it when you see me in class or in office hours. I anticipate that the guide will be useful for two audiences. The narrow audience is students in Prof. Hunt Allcott’s Empirical Environmental Economics (E3) course at Stanford.1 This website is a companion … Read more →

This is a book version to write a book. set in the _output.yml file. The HTML output format for this example is bookdown::gitbook, [...] Welcome to the “Analyzing CRISPR Screens with edgeR”. Our aim is to empower researchers like you with the tools and knowledge needed to navigate the complex landscape of CRISPR data analysis. This platform serves as the central hub for a comprehensive guide on leveraging one of the most commonly used differential expression analysis Bioconductor package edgeR, for the analysis of CRISPR screens. Whether you’re delving into CRISPR experiments for the ... Read more →

The New Science of Telepathic Communication […] “It is essential that servers everywhere — the intelligent men and women of good will — get a grasp, fresh and clear, of the work to be done and that they become”relaying channels and not delaying points of selfish interest” in the divine flow.” -Master D.K. This study guide explores the parallels between modern radio transmission and telepathy, as understood by the current scientific paradigm (the exoteric approach), and as revealed in the Alice A. Bailey book “Telepathy and the Etheric Vehicle” (the esoteric approach). Exoteric: Telepathy is … Read more →

This is a methodological guide for compilation of the Inclusive Growth Index (IGI). Each chapter contains detailed information about individual steps required for the IGI compilation and production. The Inclusive Growth Index is a composite indicator of growth developed by UNCTAD. The 2023 edition of the IGI is calculated by using updated data series, following the methodology from 2022. In the version developed in 2022 (see SDG Pulse 2022), it consists of 27 baseline indicators, grouped in 4 pillars (economic growth, living conditions, equality and environment). The SDG Pulse 2022 chapter is … Read more →

This is a guide on how to conduct Meta-Analyses in R. (Japanese version) […] オンライン版の R によるメタ分析：ハンズオンへようこそ。 本書は、 R でメタ分析を行う方法について、わかりやすく紹介するガイドラインである。メタ分析の基本的な手順として、アウトカム指標のプール、フォレストプロット、異質性診断、サブグループ解析、メタ回帰、出版バイアスの制御方法、バイアスリスク評価、プロットツールなどを網羅している。 また、ネットワークメタ分析、マルチレベル（３レベル）メタ分析、ベイズメタ分析アプローチ、SEM メタ分析といった高度でありながら関連性の高いトピックも取り上げる。 本書で扱うプログラミングや統計的背景は、専門家でなくても理解 … Read more →

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. [...] This book was written to assist the budding GIS specialist, geographer or cartographer who has an interest in quickly learning how to create webmaps with minimal knowledge of JavaScript. The aim of this book is to bring the learner up to speed on how to create almost any kind of webmap using Leaflet. Written from the point of a self-taught programmer, this is more of a guide book on how to navigate the Leaflet ... Read more →

This book is meant to provide a guide to those who have little to no experience in R and R studio to conceptions dealing with data and statistics. R is a powerful tool allowing highly customizable data visualization and offers many different formats and applications to users. […] These modules are here to present a succinct guide to using R, RStudio, and R Markdown for data wrangling and visualization. This guide is meant for those who have little to no experience in programming. My purpose in designing these modules is to provide a brief yet clear guide to learning the basic theory of these … Read more →

This is a guide to illustrate the functions and tools contained within the European Green Crab Management Tools web app. To plan or interpret green crab monitoring and removal efforts, it is necessary to understand how the true state of the system produces our observations of the system. A trap or environmental DNA (eDNA) collection is a probabilistic sample of the true state of the environment. This idea is fundamental to the web app. True capture rate and trap-adjusted capture rate are two key terms that will be used frequently throughout. For a given spatial extent, time of year, and trap … Read more →

This is a compilation of R code and output interpretation to accompany an Intermediate Inferential Statistics course taught at JMU. It is not intended to teach the statistics, but rather to support R coding and interpretation. [...] This book is intended to serve as a guide for the R functions you will be running in PSYC 605. The statistics will be covered in class; this is to support your analysis using R. This is not intended to be an exhaustive guide to R but rather a tool to aid in your work. For clarity’s sake, repeated tests between statistical techniques will be fully explained ... Read more →

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 →

R Guide […] R is a programming language and environment for data analytics, machine learning and computer science. This brief guide will get you … Read more →

This is a short introduction to some methods used in market research. […] This short book is a practical guide to using R for market research. It provides an overview of some market research tools and methods, with a focus on their practical implementation in R. Each chapter includes step-by-step instructions on how to use R to implement these methods, along with sample code. For suggestions please write to rossialessio095@gmail.com … Read more →

This guide is one of the many resources that students and supervisors can refer to during the planning, implementation and write up of the Level 6 Research Project in the Staffordshire University School of Health, Science and Wellbeing, Sport and Exercise Department. The primary purpose of this guide is to provide a single reference point for all information pertaining to the in the Staffordshire University School of Health, Science and Wellbeing, Sport and Exercise Department Level 6 Research Project. This guide should be used in conjunction with supplementary resources available via the … Read more →

This book will guide you through the practical steps of the in-person tutorial IP2 for the ISMB/ECCB 2023 conference in Lyon named: Spatial transcriptomics data analysis: theory and practice. […] This book will guide you through the practical steps of the in-person tutorial IP2 for the ISMB/ECCB 2023 conference in Lyon named: “Spatial transcriptomics data analysis: theory and practice”. Recent technological advances have led to the application of RNA Sequencing in situ. This allows for whole-transcriptome characterisation, at approaching single-cell resolution, while retaining the spatial … Read more →

CRT and Belief in God […] This document contains essential codes and details required for the project. The file has several sections, including data cleaning, data checking, and analysis. Each section is designed to perform specific tasks, and you can easily navigate through the file to locate the relevant section. Each section provides codes, outputs, and explanations to help you understand the processes involved in the project. With this file, you have a comprehensive guide to executing the project successfully. The Dropox folder that contains the materials of this project can be found … Read more →

Fundamentals of Collecting and Analyzing Baseball Data […] This book is an introduction to coding for baseball analytics. It would be most helpful if you have a basic understanding of R. Here a some resources: The first three chapters are about acquiring data. Lahman: the Lahman package contains several data frames about players, teams, pitching, hitting, fielding, and more. The version of the Lahman package used throughout this guide has data from 1871 to 2021. FanGraphs: this chapter is about data collected from the FanGraphs website or through an R package. During the midst of this … Read more →

This book is a springboard into the world of R without having to become a full-fledged programmer or possess abundant knowledge in other programming languages. This book guides you through the most common challenges in empirical research in the Social Sciences and offers practical and efficient solutions. Each chapter is dedicated to a common task we have to achieve to answer our research questions. In addition, it provides plenty of exercises and in-depth case studies based on actual data. Read more →

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 →

Survey design and analysis using R. […] This is a compilation of notes from my study of survey design and analysis. I completed Data Camp courses Survey and Measurement Development in R (Mount, n.d.) and Analyzing Survey Data in R (McConville, n.d.), then moved on to Thomas Lumley’s Complex Surveys: a guide to analysis using R (Lumley 2010). The following resources are also helpful. Only simple random sample survey designs can be analyzed with with normal statistical test functions - complex survey designs require special treatment. The survey package (Lumley 2021) handles both simple and … Read more →

Investment databook containing business financials, industry and market environments, and global economy […] When I first stepped into the investment world, there was just too much information all over the newspapers, websites, books, YouTube, and even lunch table gossips which all seemed to be of the utmost importance to me. Some believed it was the perfect time to invest in the stock market, while others insisted that the whole market was significantly overheated by repeated fiscal stimulus packages from the government and we all should prepare for the impending market crash. I was so … Read more →

This is the lab manual for the Global Community Wellness Lab at the University of Wisconsin, Parkside. […] Welcome to the Global Community Wellness Lab at the University of Wisconsin, Parkside! If you are reading our lab manual because you recently joined the lab, welcome! If you are a current member of the lab, frequently refer to our lab manual to refresh our guidelines, policies, platforms, among others. We also look forward to learning and researching together. We also welcome you to read this manual if you are looking for tips and tricks for your own manual. It’s also a work in … Read more →

Guide for the Course ECON371- Political Economy of Development […] The objective of this compendium is to provide a study guide for the course: ECON371- Political Economy of Development. This guide does not replace any of the books used in the course nor the lecture notes. However, it will help you to go through it, so you can understand and critically think about the material that we will cover in the course. The best way to contact me is through email. I am usually very fast at responding to my students, but plan for a 24-hour delay in my response during the weekdays. I usually do not … Read more →

A guide to learning R for the purpose of conducting quantitative research. This covers collecting and cleaning data, and visualizing it in graphs and maps. […] 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. If … Read more →

Data science, machine learning and artificial intelligence (AI) can have game-changing impacts for businesses, empowering them to increase operational efficiency, improve the quality of their services and understand their customers better. Yet for these benefits to be realised, data science initiatives must be designed and executed in a sensible way. Often these projects, while successful from a scientific standpoint, miss the mark in terms of business impact. Many business leaders are left feeling unsettled, balancing the need for innovation and the adoption of revolutionary technologies with an uncomfortable degree of uncertainty and risk of failure. For the data scientist the situation can be equally unnerving, with uncertainties about how to deliver a successful project when the path is not clear. Yet, these uncertainties and risks – for the business leader and the data scientist alike – can be controlled and managed if approached in a sensible manner. Your authors have designed and delivered hundreds of projects across a wide range of industries. We have made many mistakes, and in the process we have learned what works well and where the common pitfalls lie. We wrote this book to share our experiences in hopes that it will help the reader – whether a data science practitioner or a business leader – reduce these risks and design projects that have the greatest chance of success. Much of the content in this guide is derived from lessons we have given to our students. Here we have gathered, organised and expanded on those bits of advice to serve as a resource for anyone considering embarking on a data science journey. We share our approach to data science projects, addressing topics such as alignment to business imperatives, project design, project delivery and evaluation of success. Data science can be an exciting, invigorating field, and for the business leader, it can bring about revolutionary changes to an organisation that can come with huge returns on investment and value added. For the data scientist, designing and delivering successful projects is rewarding, stimulating and tremendously gratifying. We hope this guide gives you the confidence to understand the risks and approach your project in a sensible way. Read more →

This a brief overview of how to use biology for inform decision making for environmental grand challenges we face globally. […] Welcome to biology for environmental management. The goal of this course is to examine global grand challenges that we face through the lens of solutions from science. Science can be magical because it provides us with incredible outcomes in so many domains of the human endeavour. Here, we work to find the magic spells from science for the environment to promote the well-being of people and the planet. There is an opportunity for us to mobilize science to do social … Read more →

A guide to the tidyverse for POL345 Students. […] POL345 is often Princeton students’ first foray into the programming language R. Through POL345, students gain an introductory overview of R, and programming generally, to conduct basic data analysis on their own. However, many further courses (SML201, SOC306, POL346), along with industry users of R, use the tidyverse instead, a “language” within R to conduct clean, readable data analysis. This book seeks to bridge that gap, revisiting each of the POL345 handouts using the tidyverse to introduce students to this “language within a language”. … Read more →

Materials for the three day camera trap data management and analysis course […] The number of projects employing camera traps to understand ecological phenomena is growing rapidly – as are the number of statistical tools to analyze the resultant data. Consequently, the management and analysis of camera trap data can seem complex and overwhelming. This course aims to guide participants in effective ways to store, manipulate and analyze camera trap data within the R statistical environment. The idea for this course was born out of the realization that many of the analytical frameworks we … Read more →

How do you get inspired to write in R? Many books teach you what to write, but not how to find inspiration. This book starts from the ground up. You’ve just installed R and RStudio - what do you do now? What’s the quickest, smartest way to get results? I’ll show you how to get there, line-by-line, step-by-step. At some point, in trying to get your own work done, you will get stuck. But I’ll also show you how to get unstuck in mere minutes. Finally, I’ll show you how to write in a way that will prevent you from getting stuck in the first place! This will keep you in the flow of writing beautiful, intentional R code. Read more →

A brief introduction to statistical thinking in biostatistics supported by the R programming language. […] Welcome to a primer for biostatistics in R. Mathematical! Adventure time! Well, the mathematical part is up to you, but this is an adventure. This set of learning materials is a guide developed to support you in better developing critical thinking using statistics. Critical thinking very generally is a mode of thinking that is self-directed and evidence based (Facionie 2017). Statistical thinking is thus an ideal opportunity and partner in honing literacy adventure skills in this … Read more →

A Pre-Arrival Guide For Incoming & Prospective Students […] This book aims primarily as a general guideline for students who have accepted their admission into the University of Illinois at Urbana Champaign (UIUC for short). Secondarily, we’re also working on detailing life at the university as Malaysians in this book for those who are interested in the university, but do not know much. This book is still heavily a work in progress, so we’re prioritizing writing the pre-arrival sections! A printable version of this book is being worked on. In the meantime, this older Google Doc that we have … Read more →

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 →

Master ggtree package suite to handle tree with data. […] I am so excited to have this book published. The book is meant as a guide for data integration, manipulation and visualization of phylogenetic trees using a suite of R packages, tidytree, treeio, ggtree and ggtreeExtra. Hence, if you are starting to read this book, we assume you have a working knowledge of how to use R and ggplot2. The development of the ggtree package started during my PhD study at the University of Hong Kong. I joined the State Key Laboratory of Emerging Infectious Diseases (SKLEID) under the supervision of Yi Guan … Read more →

Introduction to R for Data Science: A LISA 2020 Guidebook […] Data science is emerging as a vital skill for researchers, analysts, librarians, and others who deal with data in their personal and professional work. In essence, data science is the application of the scientific method to data for the purpose of understanding the world we live in. More specifically, data science tasks emerge from an interdisciplinary amalgam of statistical analysis, computer science, and social science research conventions. Although other programming languages such as python exceed R in general popularity, R … Read more →

Kinesiska […] R is a programming language and environment for statistical computing and graphics. This brief guide will get you … Read more →

A Guide to Getting Started with R […] This is a guide to the text, Getting Started with R: An Introduction for Biologists 2nd … Read more →

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. [...] Welcome! This tutorial provides a roadmap for sensitivity analyses to assess the impact of loss to follow-up on causal effect estimates. In particular, we introduce and implement a multiple-imputation-based pattern-mixture approach to MNAR mechanisms based on previous work by Leurent et al. (2018 Pharmacoeconomics). This tutorial is intended for any public health researcher who is seeking an easily implemented, ... Read more →

Coding Guide […] dplyr is a grammar of data manipulation, providing a consistent set of verbs that help you solve the most common data manipulation challenges. Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and … Read more →

This is an introduction to the Epistemic Network Analysis web tool. […] This is the website for Epistemic Network Analysis Web Tool User Guide. This user guide demonstrates how to conduct an Epistemic Network Analysis (ENA) using the ENA web tool. Topics covered in this user guide include how to format data, upload data, construct an ENA model, perform statistical analysis, understand ENA visualizations, and interpret ENA model. Before you dive into this user guide, please keep in mind that this user guide is designed with a focus on utilizing the web tool itself, instead of discussing the … Read more →

This reference guide provides an overview of all the R commands you will need to know throughout HBAP. […] This site is intended to serve as a general reference for all of the R commands you will learn throughout the HBAP program. For a single sheet with all commands on one page, see the Google Sheet … Read more →

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. […] Syftet med jamoviguiden är att tillhandahålla snabbstartsguider över vanliga procedurer i jamovi. För dig som söker en grundläggade introduktion till både statistik och jamovi rekommenderar jag gratisboken Learning statistics with jamovi av Danielle J. Navarro och David R. Foxcroft. jonas.rafi psychology.su.se. Detta verk … Read more →

The Book of Behavior Change is an Open Access guide to effective behavior change interventions. […] The Book of Behavior Change is an Open Access book that helps with the development of effective behavior change interventions as well as doing research into behavior change. Unlike for example Intervention Mapping, this book does not provide a complete protocol, instead focusing on identifying what to target, and how to target it, to maximize intervention effectiveness. Please be aware that this is a “living” book. This means that it will be updated over time and certain parts might be … Read more →

This website contains lessons and labs to help you code linear regression in either Stata or R. […] Welcome to your guide to learning linear regression in Stata and R. This website houses all the information you need learn the basics of coding linear regression in Stata and R. It will not contain all the information taught in class, but will allow you to bridge that knowledge into running linear regressions on your own. The Stata labs on this website were adapted from materials by Ewurama Okai. This is a 10-week course with 9 labs. Each lab will focus on some topic related to coding linear … Read more →

A technical guide for mapping rooftop solar potential in a city using open source data and software. […] In 1990, cities accounted for 45% of global final energy use, but by the end of 2020, this share had risen to approximately 75% and cities release a similar share of global energy-related CO₂ emissions. Today, most of the world’s energy supply is generated from fossil fuels, coal, oil, and natural gas. Fossil fuels are non-renewable sources of energy, and their use has a negative impact on the world’s economy, ecology, and climate.1 Therefore, the use and need for renewable energy … Read more →

Hello. This is your course reader for DATA 3320 Data Science Methodology and Applications. Use the chapters of the reader to guide your work through each project. You will find the associated R Markdown file for each project on … Read more →

Research Guide […] Doing research is like baking: it requires structure (you need to follow a series of steps), but it also requires passion and some magic. It requires Deep Work, and a clear commitment to produce something that helps us understand the world a little bit better. In this Guide, I will introduce some of the elements that will help you produce a great research project. Just as with a baking book, I will introduce some of the elements and stages you need to follow in producing your research paper. But it is important that you also feel free to include your own magic. Use the … Read more →

A book about how to use R for the meta-analysis of ecological data […] We created this book as a guide to conducting meta-analysis using ecological data in R. Ecologists are increasingly turning to evidence synthesis (i.e., systematic review and meta-analysis) as a way of describing and summarizing the published evidence base within sub-disciplines. There are helpful books that provide the theory behind meta-research in ecology (Koricheva, Gurevitch, and Mengersen 2013). There are also more technical guides that provide the R code for conducting meta-analyses, but these are typically built … Read more →

This project replicates the Stata code in Acocks’s (2013) text with R, the tidyverse, and lavaan. […] This project is a guide through Alan Acock’s Discovering Structural Equation Modeling Using Stata in R using the Tidyverse, and lavaan packages. The data needed to replicate the analyses in the book can be found on the book’s website here: Discovering Structural Equation Modeling Using Stata. My goal is to show how to fit these models in R and visualize their results. This is also, ver much, a work in progress. I assume that you have some familiarity with R and the tidyverse and won’t spend … Read more →

This book is a guidebook for medical data management in R. […] Welcome to dmur! This is a book for anyone who are interested in manipulating and processing medical data. This book introduces different aspects of data management and how to implement these in R using RStudio. While there are a plethora of great R books covering a variety of data management topics, I hope this book would serve as a self-learning guide to avoid roadblocks and frustrations before becoming fully comfortable with using R. Many beginners find themselves wanting to develop data management skills in R, but lose their … Read more →

This is a handbook to help new and existing users find, process and analyse historical newspaper data, using the programming language R, and its IDE R-Studio […] In 2018 and 2019 I worked at the British Library as a Curator of Newspaper Data. It was an experimental position, conceived on the premise that the data generated by newspaper digitisation projects, in this case the Heritage Made Digital project, deserves its own curatorial role and set of practices. It was an fun time to work on such a project. While the large-scale analysis of newspaper data by historians is no longer in its … Read more →

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. […] This guide provides details and examples on using R to perform the kinds of statistical analyses that we’ll use in STAT 255. You may use it as a template, as you write code for your assignments. If you want to work with R from your own computer, you can install it for free using the directions below. This will allow you to work on your assignments whenever and wherever you would like. Mac: Windows: The following chapters walk … Read more →

Draft […] Welcome to the FairBank case! FairBank explores issues involved in the detection, diagnosis, and mitigation of disparities or biases that can stem from model-based, data-driven, approaches to decision-making. The case is fictional and intended for teaching purposes only. Please start by reading the Study guide. The case is accompanied by an interactive App that enables you to trace through the analysis underlying the case exhibits and perform what-if analyses to explore how data and modeling issues might affect the disparities discussed in the case. Use the app to deepen your … Read more →

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. [...] This guide provides details and examples on using R to perform the kinds of statistical analyses that we’ll use in STAT 255. You may use it as a template, as you write code for your assignments. If you want to work with R from your own computer, you can install it for free using the directions below. This will allow you to work on your assignments whenever and wherever you would like. Mac: Windows: The following ... Read more →

En este bookdown iremos construyendo el curso de R con base en el Student Guide […] La estadística computacional es una nueva rama de la estadística que se caracteriza por su apoyo en la capacidad de una computadora para llevar a cabo tareas repetiticas y autoamticas que análiticamente o a mano serían muy díficiles sino es que imposibles. Es un enfoque se se basa en el modelado, remuestreo, cross-validatios y visualización sofisticada. Cuando termines tu curso y tengas un ratito libre, te recomiendo leer este famoso paper para comprender también la tensión entre la estadística tradicional y … Read more →

PSY317L & PSY120R Guidebook […] This book is written to help students enrolled in the University of Texas at Austin Introduction to Statistics for the Behavioral Sciences (PSY317L) course or R Programming for Behavioral Sciences (PSY120R) led by Professor James Curley. We hope that the book will be a useful resource to help you learn both R and statistics. If you have any suggestions for improvements, please get in touch with Professor Curley. This is in between a textbook and a study guide. We’re trying to build materials that will enable students to quickly find what they’re looking for … Read more →

A users’ guide to accessing and processing microclimate datasets. […] Most ecological analyses and forecasts use weather station data or coarse interpolated, gridded temperature data. Yet, these products often poorly capture the microclimates experienced by organisms that live near the surface and respond to fine scale spatial and temporal environmental variation. Sources of historic and projected future data that better capture microclimates are proliferating. This site attempts to make it easier for users to access and process microclimate data. We include weather station data along with … Read more →

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 →

Documentation and guidelines for using the ProteoMill platform. […] The analysis of protein enrichment and knowledge of protein-protein interactions have become essential tools in many proteomics studies. We developed ProteoMill, an analysis platform with the purpose to enable researchers to quickly gain insights about the molecular events in their data. ProteoMill is unique in that it is a free, open-source, always up-to-date and easily accessible web tool that renders a complete pipeline from data upload to differential expression-, enrichment- and network analysis. A common requirement … Read more →

Welcome to my study guide that I used to prepare for my comprehensive exams. This is a general work in progress but it helped me compile all of the resources I needed for this exam set. […] Welcome to my study guide that I used to prepare for my comprehensive exams. This is a compilation of resources that I used while studying for my comprehensive exams. Each tab and chapter in this R-book are organized by the committee member this was used for. Disclaimer: Some pages of notes are more comprehensive and descriptive than others. This study guide is meant to be a foundation to bounce off of … Read more →

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] This document is the use guide for EDHM and some other concept about the hydrological models (HM) building. In Chapter 1 explain the basic concept of hydrological cycle and the important concept and idea of EDHM. In chapter 2 show the workflow of using a hydrological model with EDHM and the way to explain a new model. Chapter 3 and 4 show the basic information, e.g. input data, parameters and output data of every module or model. EDHM is a R package for … Read more →

This e-book accompanies the course HE-802 in the MS in HPEd program at MGHIHP (http://mghihp.edu/mshped). HE-802 is a statistics course that equips students to analyze healthcare and/or behavioral data in R. […] This online e-book is the main resource to guide you through the course HE-802 in the MS in HPEd program at MGHIHP in the Spring 2021 semester. Each chapter contains reading (or links to reading) that you should do as well as an assignment that you should complete and submit by the deadline in the course calendar. My name is Anshul Kumar and I am the author/preparer of this e-book. … Read more →

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 →

This book is a guide for getting started using the Rasch model […] This is meant to be a general introduction for using the Rasch model via R for constructing measures. The book is meant to get you started but is by no means where you should stop. Please see, Wilson (2005) and Bond & Fox (2015) for more. The Rasch model is based on a theory of measurement. Whereas one may typically fine-tune a model to fit the data, in the Rasch paradigm, one compares the data to the Rasch model. Under this view, when the data does not fit the Rasch model, it is believed that the data may not be suitable … Read more →

Data protection in journalism: a practical handbook […] By Iñigo de Miguel Beriain, Lorena Pérez Campillo Edited by Federico Caruso version 0.5 Welcome to the Data protection handbook for journalists, a practical guide to help journalists deal with the processing of personal data within the European context. This book is brought to you by Panelfit, a project funded by the European Union’s Horizon 2020 Research and Innovation Programme, grant agreement N. 788039. … Read more →

Notes for Basic Statistics I […] These are my notes for the Basic Stats I course at NYU (taught by Prof. Hassad). They will guide our lab sessions. The notes provide: Questions Note: Short-cut to the attendance file, … Read more →

This book constitute the lab manual for the Respiratory and Immunology Project and Laboratory Research Team (RIPLRT). The output format for this example is bookdown::gitbook. […] Welcome to the Respiratory and Immunology Project and Laboratory (RIPLRT) within College of Biomedical Sciences of Larkin University. 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 … Read more →

This is the complete guide to the R Gallery. […] Welcome the R Gallery Book, a complete guide to the R Graph Gallery website. This information is taken directly from R graph gallery with careful detail in reproducing plots and completing ideas. This material created by Kyle W. Brown as way to have one single reading collection of updated R gallery plots and graphs. While this book was created to encapsulate the entire R Graph Gallery website into one readable source, another purpose is serving as introductory level into data visualization using R programming … Read more →

This is the guide to the survey on the challenge from terrorism in the Nordic countries, conducted in Iceland, Norway, and Sweden in 2018-2019. […] This document is a guide to the survey of the research project The challenge from terrorism in the Nordic countries. The project is a Nordic collaboration, and funded by the Nordic Research Council (NORDFORSK). The survey was conducted with online, probability-based samples of Icelandic, Norwegian, and Swedish citizens. The involved researchers are: Chapter 2 displays the question wordings in the respective languages. Chapter 3 shows the script … Read more →

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 →

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 →

This is a handbook to help UTK Evaluation, Statistics, and Methodology students learn important R skills. […] Welcome to the R Handbook for ESM Students. This handbook is a hands-on guide to help you learn R. It will take you from installation and set up, to data cleaning, analysis, visualization, and reporting. This guide uses real data to help you practice with R. Specifically, it uses survey data from the RStudio Learning R Survey. It also includes data from built-in R data sets and simulated data. R is a free, open-source programming language for statistics and data visualization. It is … Read more →

Guide to Creating Interactive Maps in R […] Prior to working through the exercises and modules in this book, please watch the precursor videos that provide an introduction to GIS and geospatial data. The videos can be found here: First things first, you should install the R and RStudio softwares. To download R, visit the webpage https://cloud.r-project.org. You should see three download links at the top of the page, please click and install the appropriate R software for your machine (Linux, Mac OS, or Windows). Next, install RStudio Desktop from the webpage https://rstudio.com/download. … Read more →

PSY317L Guidebook […] This books is still in progress !!! This is a draft. Several sections are still incomplete or unedited. This book is written to help students enrolled in the University of Texas at Austin Introduction to Statistics for the Behavioral Sciences (PSY317L) course led by Professor James Curley. We hope that the book will be a useful resource to help you learn both R and statistics. If you have any suggestions for improvements, please get in touch with Professor Curley. This is in between a textbook and a study guide. We’re trying to build materials that will enable students … Read more →

Induction bookdown for all things Ryten lab […] We hope you enjoy your time in the Ryten lab! Some description about the book… TO BE ADDED For example, this book was made possible thanks to the R package bookdown (Xie 2020). The below code automatically generates the packages.bib, a bibtex format for all the packages listed. If you contribute to this book and include a particular R package in your guide (as with bookdown above), consider adding it to the code chunk and citing it via including [@R-package_name] in the text. Xie, Yihui. 2020. Bookdown: Authoring Books and Technical Documents … Read more →

This is an R guide for statistics course at NSC. […] This guide’s primary focus is on Basic R. When graphics are involved, command functions in both Basic R and a package called ggplot2 will be shown. Graph enhancements will be kept to a minimum. Although there are R packages that may do the same or better job than Basic R, this tutorial will not delve into those packages. Exploring other packages will be left for the student to look into, if the student so wishes. Datasets will be taken mostly from those built into R. Since this is mainly a tutorial on the R commands necessary to do … Read more →

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 interdisciplinary 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 →

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 →

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 →

This is a minimal example of using R and limesurvey to develop surveys, and options for presenting survey results […] Survey research in program evaluation is an efficient way to collect data from a wide range of participants, and is a field which has been used extensively in evaluation for decades. Surveys, understood to be “fundamentally a matter of asking a sample of people from a population a set of questions and using the answers to describe that population” Fowler (2014), are fundamentally important to program evaluation. I hope that this book can act as something of a guide for … Read more →

This is a short guide to learning the basic concepts of time series while also implementing these procedures in R. […] This book is created with an objective to clearly explain the basics of time series analysis. The inspiration came from taking a time series course and constantly getting confused by the theory. Often, time series can be a tricky subject; therefore, this book will try to explain the essentials of time series using R. Time series is an immense subject with so much to it; therefore, we won’t be able to cover all of it in this book. We will solely focus on what we believe is … Read more →

HOW TO PROTEST FROM HOME […] Looking for ways to push for reform of policing practices while still staying at home?? When local police departments were first created in the mid-1800s, the justification for keeping them under local control was that citizens could hold the police agency accountable. The theory was that citizens could have input on the operations of the police agency through their local officials. This guide is meant to help Americans of all ages understand how to pressure law enforcement officials to reform the ways in which they engage with Americans through the use of the … Read more →

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 →

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 →

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 →

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 →

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 →

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 →

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

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 →

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 →

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 →

This is a beginner’s guide to coding in R. […] Meet the Author Hello! My name is Wendy Huynh and I am a current PhD student working in the behavioral neurosciences. I began my R journey at the end of my first year of graduate school, slowly and painfully piecing together code. Although programming was never really part of my program, I now see it as an integral part of my work. Many fellow graduate students expressed interest in learning R, but didn’t know where to begin. Programming with R is still relatively niche among my cohort and there are very few formal classes teaching this … Read more →

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 →

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 →

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 →

A hopefully helpful guide … Read more →

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 →

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 →

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 →

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 →

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 →

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 →

This is a guide on how to write scientific papers from R. Mostly written for myself by myself […] A scientific paper consists of many pieces, traditionally, at least in psychology, some regular components … Read more →

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 →

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 →

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 →

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 →

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 →

(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 →

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 →

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

Your future is bright, your future needs coding. Welcome to coding your future. This guidebook will teach you how to design, build, test and code your future in computing. You’ll be introduced to professional issues in computer science, exploring techniques for making career decisions, job searching, writing applications and competing successfully in interviews and the workplace. Alongside the practical engineering issues of coding and testing your future, this guidebook also encourages you to design your future by taking a step back and thinking more strategically. You will apply computational thinking techniques, to reflect on who you are, what your story is, how you communicate with other people, what your experience is to date and where you want to be in the future. Read more →

This thoroughly revised 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, author Jeroen Janssens provides a Docker image packed with over 100 Unix power tools—useful whether you work with Windows, macOS, or Linux. Read more →

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 →

The Complete Guide to Large-Scale Analysis and Modeling. […] In this book you will learn how to use Apache Spark with R. The book intends to take someone unfamiliar with Spark or R and help you become proficient by teaching you a set of tools, skills and practices applicable to large-scale data science. You can purchase this book from Amazon, O’Reilly Media, your local bookstore, or use it online from this free to use website. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States … Read more →

This is an illustrated guide for creating data visualizations in R. […] This is the online version of “Modern Data Visualization with R”, published by CRC Press. A print version is also available from Amazon. R is an amazing platform for data analysis, capable of creating almost any type of graph. This book helps you create the most popular visualizations - from quick and dirty plots to publication-ready graphs. The text relies heavily on the ggplot2 package for graphics, but other approaches are covered as well. My goal is make this book as helpful and user-friendly as possible. Any … Read more →

Un guide pour acquérir les bases de la programmation avec R et conduire efficacement la gestion et l’analyse de ses données. […] Rendez-vous sur Dunod.com ! … Read more →

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 →

Documentation of rOpenSci’s project on expanding software peer review to include statistical software. Mark Padgham and Noam Ross Welcome to rOpenSci’s system for peer-review of statistical software in R packages and beyond. This system extends our existing system for software peer review, through expanding the scope to include explicitly statistical software. As such, it is a direct extension of rOpenSci Packages: Development, Maintenance, and Peer Review. This book provides guidelines for authors on how to develop statistical software, and for editors and reviewers on our processes for peer … Read more →

The tidymodels framework is a collection of R packages for modeling and machine learning using tidyverse principles. This book provides a thorough introduction to how to use tidymodels, and an outline of good methodology and statistical practice for phases of the modeling process. […] Welcome to Tidy Modeling with R! This book is a guide to using a collection of software in the R programming language for model building called tidymodels, and it has two main goals: First and foremost, this book provides a practical introduction to how to use these specific R packages to create models. We … Read more →

This is documentation for the Virginia Department of Historic Resources’ Virginia Cultural Resources Information System (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 →

Notes and solutions to Garrett Grolemund and Hadley Wickham’s ‘R for Data Science’ […] This book contains my solutions and notes to Garrett Grolemund and Hadley Wickham’s excellent book, R for Data Science (Grolemund and Wickham 2017). R for Data Science (R4DS) is my go-to recommendation for people getting started in R programming, data science, or the “tidyverse”. First and foremost, this book was set-up as a resource and refresher for myself1. If you are looking for a reliable solutions manual to check your answers as you work through R4DS, I would recommend using the solutions created and … Read more →