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The R Project for Statistical Computing To download R, please choose your preferred CRAN mirror If you have questions about R like how to download and install the software, or what the license terms are, please read our answers to frequently asked questions before you send an email
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
Previous Releases of R for Windows This directory contains previous binary releases of R for Windows The current release, and links to development snapshots, are available here Source code for these releases and others is available through the main CRAN page In this directory:
R for Windows Package developers might want to contact Uwe Ligges directly in case of questions suggestions related to Windows binaries You may also want to read the R FAQ and R for Windows FAQ Note: CRAN does some checks on these binaries for viruses, but cannot give guarantees Use the normal precautions with downloaded executables
R: A Language and Environment for Statistical Computing Permission is granted to copy and distribute translations of this manual into another language, under the above conditions for modified versions, except that this permission notice may be stated in a translation approved by the R Core Team R is free software and comes with ABSOLUTELY NO WARRANTY
Introduction to forestploter - The Comprehensive R Archive Network Forest plots are commonly used in medical research publications, especially in meta-analysis They can also be used to report the coefficients and confidence intervals (CIs) of regression models There are many packages available for drawing forest plots The most popular one is forestplot Other packages specialized for meta-analysis include meta, metafor, and rmeta Some packages, like
locuszoomr - The Comprehensive R Archive Network The locuszoomr package allows users to produce publication ready gene locus plots very similar to those produced by the web interface ‘locuszoom’ (http: locuszoom org), but running purely locally in R Plots can easily be customised, labelled and stacked