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Search within R - Resources

Resources Websites Manuals
R-project - The R Project for Statistical Computing
Resources Websites Manuals
An Introduction to R - A very good introductory text on R, also covers some advanced topic. See also the Manuals section on CRAN
Resources Websites Manuals
CRAN Contributed Docs - CRAN Contributed Documentation in many languages
Resources Websites Manuals
Quick-R - An excellent quick reference
Resources Websites Manuals
tryR - A quick course for getting started with R
Resources Websites Tools and References
RDocumentation - Search through all CRAN, Bioconductor, Github packages and their archives with RDocumentation
Resources Websites Tools and References
rdrr.io - Find R package documentation. Try R packages in your browser
Resources Websites Tools and References
CRAN Task Views - Task Views for CRAN packages
Resources Websites Tools and References
rnotebook.io - Create online R Jupyter Notebooks for free
Resources Websites News and Info
R Weekly - Weekly updates about R and Data Science. R Weekly is openly developed on GitHub
Resources Websites News and Info
R Bloggers - There are people scattered across the Web who blog about R. This is simply an aggregator of many of those feeds
Resources Websites News and Info
R-users - A job board for R users (and the people who are looking to hire them)
Resources Books Free and Online
R for Data Science by Garrett Grolemund & Hadley Wickham - Free book from RStudio developers with emphasis on data science workflow
Resources Books Free and Online
R Cookbook by Winston Chang - A problem-oriented online book that supports his R Graphics Cookbook, 2nd ed. (2018)
Resources Books Free and Online
Advanced R, 2nd ed. by Hadley Wickham (2019) - Advanced R, 2nd ed. by Hadley Wickham (2019) - An online version of the Advanced R book
Resources Books Free and Online
R Packages, 2nd ed. by Hadley Wickham & Jennifer Bryan - A book (in paper and website formats) on writing R packages
Resources Books Free and Online Books written as part of the Johns Hopkins Data Science Specialization
Exploratory Data Analysis with R by Roger D. Peng (2016) - Exploratory Data Analysis with R by Roger D. Peng (2016) - Basic analytical skills for all sorts of data in R
Resources Books Free and Online Books written as part of the Johns Hopkins Data Science Specialization
R Programming for Data Science by Roger D. Peng (2019) - R Programming for Data Science by Roger D. Peng (2019) - More advanced data analysis that relies on R programming
Resources Books Free and Online Books written as part of the Johns Hopkins Data Science Specialization
Report Writing for Data Science in R by Roger D. Peng (2019) - Report Writing for Data Science in R by Roger D. Peng (2019) - R-based methods for reproducible research and report generation
Resources Books Free and Online
R for SAS and SPSS users by Bob Muenchen (2012) - R for SAS and SPSS users by Bob Muenchen (2012) - An excellent resource for users already familiar with SAS or SPSS
Resources Books Free and Online
Introduction to Statistical Learning with Application in R by Gareth James et al. (2017) - Introduction to Statistical Learning with Application in R by Gareth James et al. (2017) - A simplified and "operational" version of The Elements of Statistical Learning. Free softcopy provided by its authors
Resources Books Free and Online
The R Inferno by Patrick Burns (2011) - The R Inferno by Patrick Burns (2011) - Patrick Burns gives insight into R's ins and outs along with its quirks!
Resources Books Free and Online
Efficient R Programming by Colin Gillespie & Robin Lovelace (2017) - Efficient R Programming by Colin Gillespie & Robin Lovelace (2017) - An online version of the OReilly book: Efficient R Programming
Resources Books Free and Online
The R Programming Wikibook - A collaborative handbook for R
Resources Books Paid
The Art of R Programming - It's a good resource for systematically learning fundamentals such as types of objects, control statements, variable scope, classes and debugging in R
Resources Books Paid
R Cookbook, 2nd ed. by JD Long & Paul Teetor (2019) - R Cookbook, 2nd ed. by JD Long & Paul Teetor (2019) - A quick and simple introduction to conducting many common statistical tasks with R
Resources Books Paid
R in Action - This book aims at all levels of users, with sections for beginning, intermediate and advanced R ranging from "Exploring R data structures" to running regressions and conducting factor analyses
Resources Books Paid
Use R! Series by Springer - This series of inexpensive and focused books from Springer publish shorter books aimed at practitioners. Books can discuss the use of R in a particular subject area, such as Bayesian networks, ggplot2 and Rcpp
Resources Books Paid
Learning R Programming - Learning R as a programming language from basics to advanced topics
Resources Books Book/monograph Lists and Reviews
R Books List - List of R Books

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Resources Books Book/monograph Lists and Reviews
Readings in Applied Data Science - These readings reflect Hadley's personal thoughts about applied data science

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Resources Podcasts
Not So Standard Deviations - The Data Science Podcast
Resources Podcasts
@Roger Peng - and @Hilary Parker
Resources Podcasts
R World News - helps you keep up with happenings within the R community
Resources Podcasts
@Bob Rudis - and @Jay Jacobs
Resources Podcasts
The R-Podcast - Giving practical advice on how to use R
Resources Podcasts
@Eric Nantz
Resources Podcasts
R Talk - News and discussions of statistical software and language R
Resources Podcasts
@Oliver Keyes - @Jasmine Dumas, @Ted Hart and @Mikhail Popov
Resources Reference Cards
RStudio Cheat Sheets
Resources Reference Cards
RReferenceCard2.0 - Material from R for Beginners by permission of Emmanuel Paradis (Version 2 by Matt Baggott)
Resources Reference Cards
Regression Analysis Refcard - R Reference Card for Regression Analysis
Resources Reference Cards
Reference Card for ESS
Resources MOOCs
Johns Hopkins University Data Science Specialization - 9 courses including: Introduction to R, literate analysis tools, Shiny and some more
Resources MOOCs
HarvardX Biomedical Data Science - Introduction to R for the Life Sciences
Resources MOOCs
Explore Statistics with R - Covers introduction, data handling and statistical analysis in R
Resources Lists
Open Data - Using R to obtain, parse, manipulate, create, and share open data

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Resources Lists
Posts - Great R blog posts or Rticles
Resources Lists
R Project Conferences - Information about useR! Conferences and DSC Conferences
Resources Lists
RStartHere - A guide to some of the most useful R packages, organized by workflow

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Resources Lists
RStudio Addins - List of RStudio addins

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Resources R Ecosystems
rOpenGov - Open government data, computational social science, digital humanities
Resources R Ecosystems
rOpenHealth - Public health data
Resources R Ecosystems
rOpenSci - Open science
Resources 2018
rstats-ed - List of courses teaching R

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Resources 2018
tinytex - A lightweight and easy-to-maintain LaTeX distribution
Resources 2017
tidyverse - Easily install and load packages from the tidyverse

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Resources 2017
purrr - A functional programming toolkit for R

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Resources 2017
xaringan - Create HTML5 slides with R Markdown and the JavaScript library

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Resources 2017
blogdown - Create Blogs and Websites with R Markdown

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Resources 2017
glue - Glue strings to data in R. Small, fast, dependency free interpreted string literals

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Resources 2017
reprex - Render bits of R code for sharing, e.g., on GitHub or StackOverflow

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Resources 2017
reticulate - R Interface to Python

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Resources 2017
tensorflow - TensorFlow for R

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Categories

AnomalyDetection

Machine Learning

R package from Twitter

Data Manipulation

Fast data manipulation in a short and flexible syntax

Tools to make an R developer's life easier

Data Manipulation

Fast data frames manipulation and database query

Graphic Displays

An implementation of the Grammar of Graphics

Reproducible Research

Easy dynamic report generation in R

Machine Learning For Hackers

General-Purpose Machine Learning R

Network Analysis List

Network Analysis

Network Analysis related resources

Machine Learning

Tool for producing high quality forecasts for time series data that has multiple ...

Web Technologies and Services

Easy interactive web applications with R. See also awesome-rshiny