R
R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.
R is a highly powerful tool for statistical computing, graphics, and programming. As a free, open-source, and continually evolving software, it is widely recognized as a strong competitor among statistical and data science packages.
R is available as Free Software under the terms of the Free Software Foundation’s GNU General Public License in source code form. It compiles and runs on a wide variety of UNIX platforms and similar systems (including FreeBSD and Linux), Windows and MacOS.
Resources on the web:
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The main resource is the R project site: www.r-project.org
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For quick R Manuals: cran.r-project.org/manuals.html
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Blogs about R is highly broad and powerful. Try R-bloggers: www.r-bloggers.com/
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Questions/Answers in programming: stackoverflow.com/
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Cheat sheets can be helpful resources for a quick look in R. See the following example including summary information for RStudio: rstudio.github.io/cheatsheets/rstudio-ide.pdf
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Working with a team requires version control. If version control is not familiar to you, the following link would be a great start: happygitwithr.com
R project site contains an extensive bibliography of books related to R: www.r-project.org/doc/bib/R-books.html
Here are some (tentative) topics covered in R section: