Install Packages R

Next Evidence Thrills Rarest. Use R to install packages on a server when package management is enabled. If you have already enabled package management on the instance, you can install new R. Download and Install R Precompiled binary distributions of the base system and contributed packages, Windows and Macusers most likely want one of these.

• • Install • • • • • • • • Using Bioconductor The current release of Bioconductor is version 3.6; it works with R version 3.4.0. Users of older R and Bioconductor users must update their installation to take advantage of new features and to access packages that have been added to Bioconductor since the last release. The latest release of R, then get the latest version of Bioconductor by starting R and entering the commands ## try if URLs are not supported source('biocLite() Details, including instructions to and to,, and are provided below. A version of Bioconductor is available. There are good for managing Bioconductor resources. Install R • Download the most recent version of. The and the contain detailed instructions for installing R on various platforms (Linux, OS X, and Windows being the main ones).

• Start the R program; on Windows and OS X, this will usually mean double-clicking on the R application, on UNIX-like systems, type “R” at a shell prompt. • As a first step with R, start the R help browser by typing help.start() in the R command window. For help on any function, e.g. The “mean” function, type? [ ] Install Bioconductor Packages Use the biocLite.R script to install Bioconductor packages.

To install core packages, type the following in an R command window: ## try if URLs are not supported source('biocLite() Install specific packages, e.g., “GenomicFeatures” and “AnnotationDbi”, with biocLite(c('GenomicFeatures', 'AnnotationDbi')) The biocLite() function (in the BiocInstaller package installed by the biocLite.R script) has arguments that change its default behavior; type?biocLite for further help. [ ] Find Bioconductor Packages Visit the page and to discover available packages. [ ] Update Installed Bioconductor Packages Bioconductor packages, especially those in the development branch, are updated fairly regularly. To identify packages requiring update within your version of Bioconductor, start a new session of R and enter ## try if URLs are not supported source('biocLite() ## R version 3.0 or later Use the argument ask=FALSE to update old packages without being prompted. For older versions of R, use the command biocLite(NULL).