R: A Computer Language for Statistical Data Analysis

R for data science

R is one (or the?) predestined language for data science as it allows to

import your data (be it from the web or a database)
transform it
visualize it
explore it
model it
run statistical tests on it
create reports of the results.

Installation

Ubuntu / Debian

$ sudo apt install -y r-base

Optionally r-base-html might be installed to browse the hyperlinked documentation and r-doc-html to install important R manuals locally:

$ sudo apt install -y r-doc-html r-base-html

Red Hat / Fedora

sudo yum install R.i386

Chocolatey

choco install -y r.project --params "/AddToPath"

R-Studio:

choco install -y r.studio

RTools:

choco install -y rtools

Apparently, after installing Rtools, the environment variable needs to be put into ~/.Renviron (note that in Windows, the tilde (~) expands to C:\Users\username\Documents).

write('PATH="${RTOOLS40_HOME}\\usr\\bin;${PATH}"', file = "~/.Renviron", append = TRUE)

Getting help

Some R functions can be used to get help

Links

The R language definition documents the language per se: the objects that it works on and the details of the expression evaluation process etc.

R internals looks at the internal structures of R.

R Data Import/Export describes the import and export facilities available either in R itself or via packages which are available from CRAN.

rseek.org seems to be a search engine specifically for the R language.

http://search.r-project.org/cgi-bin/namazu.cgi (See also R function: RSiteSearch)

Github repository of Efficient R programming by Colin Gillespie and Robin Lovelace.