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R: 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
Reddit - Dive into anything The goal of r Movies is to provide an inclusive place for discussions and news about films with major releases Submissions should be for the purpose of informing or initiating a discussion, not just to entertain readers
R (programming language) - Wikipedia The R Consortium is one of the three main groups that support R 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 The R Foundation for Statistical Computing was founded in April 2003 to provide financial support
R-4. 5. 1 for Windows - The Comprehensive R Archive Network Does R run under my version of Windows? How do I update packages in my previous version of R? Please see the R FAQ for general information about R and the R Windows FAQ for Windows-specific information
Download RStudio - Posit The most popular coding environment for R, built with love by Posit Used by millions of people weekly, the RStudio integrated development environment (IDE) is a set of tools built to help you be more productive with R and Python
The Comprehensive R Archive Network R is ‘GNU S’, a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc
Documentation - The R Project for Statistical Computing 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
Create Elegant Data Visualisations Using the Grammar of Graphics The Data Visualization and Communication chapters in R for Data Science R for Data Science is designed to give you a comprehensive introduction to the tidyverse, and these two chapters will get you up to speed with the essentials of ggplot2 as quickly as possible