Packages extend R with new function and data. Whether you’re using R to optimize portfolio, analyze genomic sequences, or to predict component failure times, experts in every domain have made resources, applications and code available for free online. R comes with a standard set of packages. Others are available for download and installation. If we will install it once, we have to be load it into the session to be used. Recommended Packages. In packages, we use many R functions, free libraries of code written by R’s active user community. Open an R session and type this in the command. R for macOS Developers This is the new home for experimental binaries and documentation related to R for macOS. To learn more about the R software or download released versions, please visit www.r-project.org. All software on this page is strictly experimental and subject to acceptance of the supplied R license agreement and the disclaimer at the end of the page.
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December 2020
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