Resources for Getting Started with R and R Studio
- Introduction to Data Science : Data Analysis and Prediction Algorithms with R by Rafael A. IrizarryThis 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.
- R & Social Science : Getting Started With Applied Use of R in the Social Sciences by Michael ClarkThis ebook shows specific R tools framed within social science applications, along with programming examples.
- R for Fledglings by Therese M. Donovan, Michelle Brown, Jonathan E. KatzA short introduction to R, aimed at new users of R.
- R for Non-Programmers : A Guide for Social Scientists (R4NP) by Daniel DauberThis book provides a helpful resource for anyone looking to use R for their research projects, regardless of their level of programming or statistical analysis experience. Each chapter presents essential concepts in data analysis in a concise, thorough, and user-friendly manner. R4NP will guide you through your first steps on a possibly endless journey full of ‘awe and wonder’.
This book is designed to be accessible to beginners while also providing valuable insights for experienced analysts looking to transition to R from other computational software. You don’t need any prior knowledge or programming skills to get started. R4NP provides a comprehensive entry into R programming, regardless of your background.
Resources on R for this Course
YaRrr! The Pirate's Guide to R by Nathaniel D. Phillips
- An introduction to the basic analytical tools in R, from basic coding and analyses, to data wrangling, plotting, and statistical inference.
An Introduction to Political and Social Analysis Using R by Thomas M. Holbrook
- This book provides students with a comprehensive and accessible overview of important issues related to political and social data analysis, wile also providing a gentle introduction to using the R programming environment to address those issues.
R Workflow article by Frank E. Harrell, Jr.
- Covers how to use R effectively all the way from importing data to analysis and making use of RStudio's Quarto for making reproducible reports with R and other language. This article also provides an overview of R Workflow for Reproducible Data Analysis and Reporting by the same author, which contains best practices in reproducible data documentation and manipulation, statistical analysis, graphics, and reporting.
R Tutorials and Resources: Getting Started with R
- This page has links to other webpages with tutorials on learning how to use R. There are also links to other topics related to R.
- Has some additional resources for installing R and RStudio on your computer, and developing your expertise with R.
Learn R by Martin Morris
- This research guide from McGill University focuses on R's manipulation and cleaning functions to help you get your data into the right shape and format for running smooth analyses.
Statquest!! Video Index by Josh Starmer
- The Video Index page contains links to playlists and individual videos on such topics as Statistics, Statistical Tests, and Statistics in R. The videos in each category are organized from basic concepts to complicated concepts.
SimpleR -- Using R for Introductory Statistics by John Verzani
- According to the author: "these notes are an introduction to using the statistical software package R for an introductory statistics course. They are meant to accompany an introductory statistics book .... The goals are not to show all the features of R, or to replace a standard textbook, but rather to be used with a textbook to illustrate the features of R that can be learned in a one-semester, introductory statistics course."
An Introduction to R by Alex Douglas, Dean Roos, Francesca Mancini, Ana Couto & David Lusseau
- "The aim of this book is to introduce you to using R, a powerful and flexible interactive environment for statistical computing and research."
Quick R by Rob Kabacoff of Datacamp
- Provides a roadmap and the code necessary to get started programming with the R programming language.
R for Epidemiology by Brad Cannell and Melvin Livingston. While geared toward epidemiologic research, this book has chapters on:
- Installing R and RStudio
- What is R?
- Navigating the RStudio Interface
- Speaking R's Language
- Let's Get Programming
- Asking Questions
Beginner's Guide to R from Computerworld is a series of articles by Sharon Machlis on learning to use R. The articles include:
- Introduction - getting started with R
- Getting your data into R - tips on how to import data in various formats, both local and on the web
- Easy ways to do basic analysis - extracting some simple statistics
- Painless data visualization - simple graphics, bar graphs, and a few more complex charts
- Syntax quirks you'll want to know - some R ideosyncrasies
- Useful resources
- The complete guide as a PDF download (free registration required)
- 4 data-wrangling tasks for advanced beginners
Posit Cheatsheets is a series of cheatsheets that make it easy to use several R packages.
How to Install R and RStudio
R is a language and software environment for statistical computing and graphics. It provides a wide variety of statistical and graphical techniques. R is available as a free software, which runs on Linux, MacOS and Windown. You can download R from the Comprehensive R Archive Network (CRAN), part of The R Project for Statistical Computing.
RStudio is an integrated development environment (IDE) for R and Python. It includes a console, syntax-highlighting editor that supports direct code execution, and tools for plotting, history, debugging, and workspace management. It is available as an open source edition and runs in Windows, MacOS, and Linus environments. You can download RStudio from the POSIT website.
This helpful YouTube video talking you through downloading R and RStudio:
- How to Download and Install R and R Studio (about 5 minutes)
Installing R on Your Machine has step-by-step instructions on how to install R and RStudio Desktop on Windows and MacOS. It also has instructions for installing R Kernel on Jupyter Notebook for both Windows and MacOS.
Once you've installed RStudio, Descriptive Statistics and an Overview of RStudio (about 6 minutes) will get help get you started using RStudio
Books on Statistics, R, and RStudio
Elementary Statistics in Social Research by Call Number: HA29 .L388 2011 (Loan)ISBN: 9780205638000Publication Date: 2010-02-15
Just Plain Data Analysis by Call Number: OnlineISBN: 9781442215092Publication Date: 2012-04-01Just Plain Data Analysis teaches students statistical literacy skills that they can use to evaluate and construct arguments about public affairs issues grounded in numerical evidence. The book addresses skills that are often not taught in introductory social science research methods courses and that are often covered sketchily in the research methods textbooks: where to find commonly used measures of political and social conditions; how to assess the reliability and validity of specific indicators; how to present data efficiently in charts and tables; how to avoid common misinterpretations and misrepresentations of data; and how to evaluate causal arguments based on numerical data. With a new chapter on statistical fallacies and updates throughout the text, the new edition teaches students how to find, interpret, and present commonly used social indicators in an even clearer and more practical way.
Learning RStudio for R Statistical Computing by Call Number: OnlineISBN: 1283937859Publication Date: 2012-01-01A practical tutorial covering how to leverage RStudio functionality to effectively perform R Development, analysis, and reporting with RStudio. The book is aimed at R developers and analysts who wish to do R statistical development while taking advantage of RStudio functionality to ease their development efforts. Familiarity with R is assumed. Those who want to get started with R development using RStudio will also find the book useful. Even if you already use R but want to create reproducible statistical analysis projects or extend R with self-written packages, this book shows how to quickly achieve this using RStudio.
R for Dummies by Call Number: OnlineISBN: 1119055857Publication Date: 2015-06-18Mastering R has never been easier Picking up R can be tough, even for seasoned statisticians and data analysts. R For Dummies, 2nd Edition provides a quick and painless way to master all the R you'll ever need. Requiring no prior programming experience and packed with tons of practical examples, step-by-step exercises, and sample code, this friendly and accessible guide shows you how to know your way around lists, data frames, and other R data structures, while learning to interact with other programs, such as Microsoft Excel. You'll learn how to reshape and manipulate data, merge data sets, split and combine data, perform calculations on vectors and arrays, and so much more. R is an open source statistical environment and programming language that has become very popular in varied fields for the management and analysis of data. R provides a wide array of statistical and graphical techniques, and has become the standard among statisticians for software development and data analysis. R For Dummies, 2nd Edition takes the intimidation out of working with R and arms you with the knowledge and know-how to master the programming language of choice among statisticians and data analysts worldwide. Covers downloading, installing, and configuring R Includes tips for getting data in and out of R Offers advice on fitting regression models and ANOVA Provides helpful hints for working with graphics R For Dummies, 2nd Edition is an ideal introduction to R for complete beginners, as well as an excellent technical reference for experienced R programmers.- RStudio for R statistical computing cookbook : over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature byCall Number: OnlineISBN: 9781784396947Publication Date: 2016This book is a collection of recipes that will help you learn and understand RStudio features so that you can effectively perform statistical analysis and reporting, code editing, and R development. The first few chapters will teach you how to set up your own data analysis project in RStudio, acquire data from different data sources, and manipulate and clean data for analysis and visualization purposes. You'll get hands-on with various data visualization methods using ggplot2, and you will create interactive and multidimensional visualizations with D3.js. Additional recipes will help you optimize your code; implement various statistical models to manage large datasets; perform text analysis and predictive analysis; and master time series analysis, machine learning, forecasting, and so on.
Social Statistics by Call Number: HA29 .L83118 2011 (Loan)ISBN: 9780415805018Publication Date: 2010-12-09
Statistics and Data Analysis for Social Science by Call Number: HA29 .K856 2012 (Loan)ISBN: 9780205728275Publication Date: 2011-02-22
