Main sources of resources

Comprehensive R Archive Network: CRAN

• Manuals
• Contributed manuals and cheat sheets

Journals

• R journal
• Journal of Statistical Software
• JOSS

Books

• Bookdown

RStudio

• Website: https://www.rstudio.com
• Books
• Cheat Sheet
• R Views

ROpensci

• Website: https://ropensci.org/about/
• ROpensci’s blog
• ROpensci’s packages
• Learn R

Tutorials

• Software carpenteries
• DataCamp
• Guru 99

Tools

• METACRAN
• A curation of R packages
• rdrr
• rdocumentation
• cloudyr

Blogs

If you want to find people online writing about R, you should definitively check out R-bloggers. R-bloggers is “a blog aggregator of content contributed by bloggers who write about R” and there are literally hundreds of bloggers that contribute to it.

• inside-R
• Quick-R
• Revolutions
• R graph gallery
• A newer graph gallery
• ggplot2 extensions
• Reproducible Random Thoughts
• Rcpp Gallery
• Thinking inside the box (blog by Dirk Eddelbuettel)
• datascienceplus
• business-science
• insightR
• Yihui’s Blog
• rud.is
• Maëlle’s R blog
• R posts
• Data R value
• Recology
• Once upon Data
• r-spatial
• rOpenSci’s blog
• R Views (RStudio blog)

Curated list of blog posts

About R

• R and Python in 2017
• Updated history on R - 20/10/2017
• Python-R vs SPSS-SAS
• Python vs R
• Stack Overflow’ survey tag 2017
• The 5 most effective ways to learn R

Miscellaneous

• Faces of #rstats
• Network analysis of Game of Thrones family ties
• Best practices
• Organize your R project
• Limiting dependencies
• Package-Wide Variables/Cache in R Packages
• Rcpp Intro
• Mongolite
• Pair Programming

Visualization

• Sunflowers for colourlovers
• Superpixels in imager
• colourpicker package v1.0
• Role Playing with Probabilities: The Importance of Distributions
• D3partitionR
• Network visualization with R
• ggThemeAssist an add-in for RStudio
• Visualizing Wine Reviews
• Phylomoji with ggtree and emojifont
• Sankey charts for swinging voters

Interface

• Interfacing with APIs using R: the basics
• Writing Julia functions in R with examples
• Test driving Python integration in R, using the ‘reticulate’ package
• [http://davegiles.blogspot.ca/2017/09/how-good-is-that-random-number-generator.html](How Good is That Random Number Generator?)

Bayesian

• Gibbs Sampling
• Fitting Bayesian Linear Mixed Models for continuous and binary data using Stan: A quick tutorial
• Bayesian model checking via posterior predictive simulations (Bayesian p-values) with the DHARMa package
• Introduction to Bayesian Data Analysis

Machine learning

• Practical machine learning with R and Python
• How to sample from multidimensional distributions using Gibbs sampling?
• Time series data mining in R

Mapping

• The National Map Base Maps
• using R as a GIS
• Cartograms of New Zealand census data
• Hacking maps with ggplot2

Shiny

• Shiny server series
• Long Running Tasks With Shiny: Challenges and Solutions