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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

stable - Updated 7 months ago

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Resources 2017
purrr - A functional programming toolkit for R

stable - Updated 5 months ago

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

stable - Updated 4 months ago

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Resources 2017
blogdown - Create Blogs and Websites with R Markdown

stable - Updated 6 months ago

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

stable - Updated 4 months ago

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

stable - Updated 5 months ago

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Resources 2017
reticulate - R Interface to Python

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Resources 2017
tensorflow - TensorFlow for R

stable - Updated 5 months ago

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Categories

Graphic Displays

An implementation of the Grammar of Graphics

Machine Learning For Hackers

General-Purpose Machine Learning R

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