copy and paste this google map to your website or blog!
Press copy button and paste into your blog or website.
(Please switch to 'HTML' mode when posting into your blog. Examples: WordPress Example, Blogger Example)
The R Project for Statistical Computing R is a free software environment for statistical computing and graphics It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS To download R, please choose your preferred CRAN mirror
R (programming language) - Wikipedia There are three main groups that help support R software development: The R Core Team was founded in 1997 to maintain the R source code
What is R in Programming? (Definition, Uses, Difficulty) | Built In R is a free, open-source programming language used for statistical analysis and data visualization Popular in data science, R offers powerful tools for modeling, plotting, and working with large data sets across research and industry
R: Documentation Browsable HTML versions of the manuals, help pages and NEWS for the developing versions of R “ R-patched ” and “ R-devel ”, updated daily CRAN has a growing list of contributed documentation in a variety of languages
R - Wikipedia R, or r, is the eighteenth letter of the Latin alphabet, used in the modern English alphabet, the alphabets of other western European languages and others worldwide Its name in English is ar (pronounced ˈɑːr ⓘ), plural ars [1] The letter r is the eighth most common letter in English and the fourth-most common consonant, after t , n , and s [2]
CRAN: Manuals - The Comprehensive R Archive Network Here they can be downloaded as PDF files, EPUB files, or directly browsed as HTML: An Introduction to R is based on the former "Notes on R", gives an introduction to the language and how to use R for doing statistical analysis and graphics
An Introduction to R R is very much a vehicle for newly developing methods of interactive data analysis It has developed rapidly, and has been extended by a large collection of packages However, most programs written in R are essentially ephemeral, written for a single piece of data analysis