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

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)

- 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

- 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

- 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

- 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?)

- 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

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

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