rweekly rweekly.org

Weekly Updates from the Entire R Community by Bruce Zhao, Colin Fay, Eric Nantz, Hao Zhu, Jon Calder, Jonathan Carroll, Maëlle Salmon, Ryo Nakagawara, and Wolfram Qin.

Building Shiny Applications with R Tutorial (Deprecated) rstudio.github.io

Introductory tutorial to Shiny. Note, this tutorial is deprecated. Author: RStudio.

An Introduction to Choropleth maps in R rstudio-pubs-static.s3.amazonaws.com

Author: Henry Cann.

Introduction to R & Spatial Data with Raster and Terra rspatial.org

This document provides a concise introduction to R. It emphasizes what you need to know to be able to use the language in any context. Author: Professor Robert Hijmans.

Joining Data in R with dplyr rpubs.com

Course notes from the Joining Data in R with dplyr course on DataCamp. Topics include mutating joins, filtering joins and set operations, assembling data, advanced joining. Author: William Surles.

R for Data Science (R4DS) Online Learning Community rfordatasci.com

Founded by Jessie Mostipak (@kierisi) to create a supportive and responsive online space for learners and mentors to gather and work through the R for Data Science book by Garrett Grolemund and Hadley Wickham. Grown into a community of R learners at all skill levels working…

Subreddit - r/programming - The R Project for Statistical Computing reddit.com

A Reddit subreddit focused on using R for statistical computing.

Subreddit - r/Rlanguage - R Programming Language reddit.com

A Reddit subreddit focused on implementing the R programming language for statistics and data science.

Data meets Narrative rebeccabarter.com

Rebecca Barter enjoys making sense of complex, messy and sometimes nonsensical datasets, such as electronic health records, and insurance claims. Her dual passions are explaining “seemingly complicated” concepts to others in plain English, and exploring and uncovering the…

Descriptive Statistics rcompanion.org

A tutorial of descriptive statistics which are used to summarize data in a way that provides insight into the information contained in the data. Author: Salvatore S. Mangiafico.

R Cookbook, 2nd Edition rc2e.com

This book is full of how-to recipes, each of which solves a specific problem. The recipe includes a quick introduction to the solution followed by a discussion that aims to unpack the solution and give you some insight into how it works. Authors: James (JD) Long and Paul Teetor.

Introduction to Data Science - Data Analysis and Prediction Algorithms with R rafalab.github.io

This book started out as the class notes used in the HarvardX Data Science Series. It 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…

Top 50 ggplot2 Visualizations - The Master List (With Full R Code) r-statistics.co

This tutorial helps you choose the right type of chart for your specific objectives and how to implement it in R using ggplot2. Author: Selva Prabhakaran.

R Packages r-pkgs.had.co.nz

In this book you will learn how to turn your code into packages that others can easily download and use. Author: Hadley Wickham.

R CODER r-coder.com

The tutorials are grouped into categories (introduction, data structures, data wrangling, programming, import & export, graphics) that cover in-depth all the basic needs for someone starting learning the R programming language.

Quantitative Politics with R qpolr.com

The aim of this book is to provide an easily accessible introduction to R for the collection, study and presentation of different types of political data. Authors: Erik Gahner Larsen and Zoltán Fazekas.

Forecasting: Principles and Practice otexts.com

This textbook is intended to provide a comprehensive introduction to forecasting methods and to present enough information about each method for readers to be able to use them sensibly. Authors: Rob J Hyndman and George Athanasopoulos.

Modern Statistics with R modernstatisticswithr.com

From wrangling and exploring data to inference and predictive modelling. The book includes plenty of examples and more than 200 exercises with worked solutions. Author: Måns Thulin.

Statistical Inference via Data Science moderndive.com

This is intended to be a gentle introduction to the practice of analyzing data and answering questions using data the way data scientists, statisticians, data journalists, and other researchers would. Authors: Chester Ismay and Albert Y. Kim.

Essential Math for Data Science medium.com

An article discussing the key mathematical topics to master to become a better data scientist. Author: Tirthajyoti Sarkar.

Mastering Shiny mastering-shiny.org

This is the online version of Mastering Shiny, a book currently under early development and intended for a late 2020 release. This book complements the Shiny online documentation and is intended to help app authors develop a deeper understanding of Shiny. Author: Hadley…

Musings on R martinctc.github.io

A blog on all things R and Data Science by Martin Chan. Topics covered include comparing dplyr and data.table, Shiny apps, ggplot, data cleaning, using RStudio, interviews with other R users/data scientists, and web scraping.

Practical Data Science with R manning.com

The intent of this book is to present data science from a pragmatic, practice-oriented viewpoint. The book concentrates on the process of data science, from the planning stages of a project, through the data collection and exploration, to the modeling, and finally to deployment…

Map Plots Created With R And Ggmap littlemissdata.com

Author: Laura Ellis.

Time Based Heatmaps in R littlemissdata.com

Author: Laura Ellis.

Learning Statistics with R learningstatisticswithr.com

Learning Statistics with R covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software. Author: Danielle Navarro.

Julia Silge juliasilge.com

Julia Silge is a data scientist and software engineer at RStudio where she work on open source modeling tools. She is passionate about making beautiful charts, the statistical programming language R, Jane Austen, black coffee, and red wine.

HighlandR johnmackintosh.net

John Mackintosh's blog is a place for him to showcase demonstrations or workshops, notes he's learned at work, chart makeovers, and techniques and technology that he doesn't currently use in his role.

Introduction to Data Analysis with R jmbuhr.de

This is a lecture series with videos, scripts and exercises introducing R and the tidyverse as well as statistical concepts.

Gallery of Statistical Distributions itl.nist.gov

Author: NIST/SEMATECH.

An Introduction to R intro2r.com

The aim of this book is to introduce you to using R, a powerful and flexible interactive environment for statistical computing and research. Authors: Alex Douglas, Deon Roos, Francesca Mancini, Ana Couto & David Lusseau

The ultimate R data.table cheat sheet infoworld.com

Find code for dozens of data tasks in this searchable cheat sheet of R data.table and Tidyverse code. Author: Sharon Machlis.

The Graphic Continuum informationisbeautifulawards.com

The Graphic Continuum shows the many different types of visualizations available to us when we encode and present data. Authors: Jonathan Schwabish, and Severino Ribecca.

Happy Git and GitHub for the useR happygitwithr.com

Happy Git provides opinionated instructions on how to install Git and get it working smoothly with GitHub, in the shell and in the RStudio IDE, develop a few key workflows that cover your most common tasks, and integrate Git and GitHub into your daily work with R and R…

ggplot2 - Modify components of a theme ggplot2.tidyverse.org

How to modify components of a theme in ggplot2. Author: the developers of Tidyverse.

ggplot2: Elegant Graphics for Data Analysis ggplot2-book.org

This book provides a hands-on introduction to ggplot2 with lots of example code and graphics. It also explains the grammar on which ggplot2 is based. Author: Hadley Wickham.

Geocomputation with R geocompr.robinlovelace.net

This book is about using the power of computers to do things with geographic data. It teaches a range of spatial skills, including reading, writing and manipulating geographic data; making static and interactive maps; applying geocomputation to solve real-world problems; and…

An Introduction to Statistical Learning faculty.marshall.usc.edu

This book provides an introduction to statistical learning methods. Authors: Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani.

ggplot2 extensions - gallery exts.ggplot2.tidyverse.org

Maintained by Daniel Emaasit.

Chart Suggestions — A thought-starter on choosing the way to show your data extremepresentation.typepad.com

Author: Andrew Abela, Ph.D.

Engineering Production-Grade Shiny Apps engineering-shiny.org

This book covers the process of building a Shiny application that will later be sent to production. Authors: Colin Fay, Sébastien Rochette, Vincent Guyader, Cervan Girard.

The Art of R Programming diytranscriptomics.com

This book is for those who wish to learn about developing software in R. Author: Norman Matloff.

Getting latitude & longitude for any address discourse.looker.com

Author: Brecht Vermeire.

R - discoRd server discord.gg

Dedicated discoRd server with the following topic-based channels: R-Main for more general discussions, R-Share for showing off your data visuals, General R Help for asking questions and sharing learning resources, and Topical Help/Discussion for issues dealing with statistics…

A Sufficient Introduction to R dereksonderegger.github.io

This book is intended to guide people that are completely new to programming along a path towards a useful skill level using R. Author: Derek L. Sonderegger.

Building Shiny apps - an interactive tutorial deanattali.com

This tutorial is a hands-on activity complement to a set of presentation slides for learning how to build Shiny apps. Author: Dean Attali.

The Data Visualization Catalogue datavizcatalogue.com

The Data Visualization Catalogue is a project developed by Severino Ribecca to create a library of different information visualization types.

Data Science in Education Using R datascienceineducation.com

This book is primarily about learning to use R as a tool for data science in education. Authors: Ryan A. Estrellado, Emily A. Bovee, Jesse Mostipak, Joshua M. Rosenberg, and Isabella C. Velásquez.

Data Science in a Box datasciencebox.org

The core content of the course focuses on data acquisition and wrangling, exploratory data analysis, data visualization, inference, modelling, and effective communication of results.

Combine Multiple GGPlots into a Figure datanovia.com

Author: Alboukadel Kassambara.