This list is a work in progress! If you have suggestions, please let me know!
- Quick-R is an excellent resource! See www.statmethods.net/
- Among other resources on the RStudio website are the Cheat Sheets at www.rstudio.com/resources/cheatsheets/.
- Manuals on the R website are free, and include An Introduction to R, R Data Import/Export, and The R Reference Index.
- CRAN Task Views: Take a moment and skim these comprehensive overviews of R packages for various tasks (e.g. Baysian Inference, Differential Equations, Probability Distributions, Experimental Design, Multivariate Statistics, Numerical Mathematics, Optimization, Robust Statistics, Spatial Data Analysis, Time Series Analysis, etc)
- Introduction to R is a six part online course through DataCamp: www.datacamp.com/courses/introduction-to-r
- Rpplane!: Here's my (very!) beta version of pplane for R (Rpplane) based on code from Daniel Kaplan (Mcalester College) that had been modified by Stephen P. Ellner (Cornell University) for use with his 2006 book co-authored with J. Guckenheimer. Ultimately this will wind up on github and then become available as an R package, with documentation for both the GUI/shiny version and functions for command-line functions. Please let me know if you find bugs or have suggestions for cleaning up the code, or if you have any feature requests!
- R's assignment operators explained: ‘=’ vs. ‘<-’ vs '<<-': csgillespie.wordpress.com/2010/11/16/assignment-operators-in-r-vs/
- Revolutions -- The staff blog from Revolution Analytics.
Revolution Analytics offers an enhanced version of R called Microsoft R Open (MRO).
- Infographic: R vs Python (www.python.org/): www.datacamp.com/community/tutorials/r-or-python-for-data-analysis
- SciViews.org/ -- Open source software to supplement R.
- Presentation: Intro to R: data manipulation, visualization, communities, networks (presentation by Scott Chamberlain): schamberlain.github.io/posterstalks/sfu/workshop2/
- Presentation: R Resources (presentation by Scott Chamberlain): rpubs.com/recology_/rresources
- Others GUIs/IDEs for R:
- Windows users: a good (free) R code editor is Notepad++ with NppToR
- Mac users: while R's native editor is decent, another good (free) R code editor is TextWrangler.
- ...or for $70, the Sublime Text editor (v2). See this link for using it with R.
- www.rcommander.com/ -- R Commander, a super basic GUI for simple stats in R.
- Additional (older) R GUIs can be found at www.sciviews.org/_rgui/ -- see the sidebar for details.
- Looking for a menu-driven alternative? Check out the R-based software iNZight! Developed for New Zealand high school students to explore data and statistical concepts in a programming-free environment. Read how it compares to Minitab, SPSS, Excel in this blog post.