The R Project for Statistical Computing
February 15, 2010 4:07 PM Subscribe
posted by parudox (114 comments total)
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R is quickly becoming the
programming language for data analysis and statistics. R
) is free, open-source, and has hundreds
of packages available. You can use it on the command-line, through a GUI, or in your favorite text editor. Use it with Python
, or Java
R code into LaTeX documents
for reproducible research.
Good places to get started: official manuals
, R help
, and the R Wiki
. (R translations exist for MATLAB users
users.) Handy resources: RSeek
and the R reference card (PDF)
. See also intros to R
for psychology and must-have R packages
for social scientists. There's even some books
Check out some neat graphs
(with R source code). Popular graphics packages for R include lattice
, and RGL
for more complex data visualization.
your data with the reshape package.
Many R GUIs
are available, including R Commander
for data mining, and even an R GUI Generator
. Or use R through text editors: Emacs Speaks Statistics
, a vim plugin
for Komodo, and Tinn-R
. The Omega Project
has some other interesting R interfaces.
Happy data crunching!