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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
Help for package ape - The Comprehensive R Archive Network This is much faster and is now the default Since version 5 2 of ape, ace can take state uncertainty for discrete characters into account: this should be coded with R's NA only More details: https: www mail-archive com r-sig-phylo@r-project org msg05286 html
Help for package arrow - The Comprehensive R Archive Network This lets you do more complex operations in R that operate on chunks of data without having to hold the entire Dataset in memory at once You can include map_batches() in a dplyr pipeline and do additional dplyr methods on the stream of data in Arrow after it
Help for package survival - The Comprehensive R Archive Network (There is no central index of R methods, so there may well be useful candidates that the author has missed ) The arguments and results from these are mostly as expected, with the following further details: