There are several commands in R that can help you with managing the packages you use and install. For example: library(plyr) Managing Packages

Here, replace with the name of the package you need to load. You can do that with the following command. Once you have installed a package, you need to load it into the library to be able to use it. The above command will result in a waterfall of code that details the installation process of the package and all of its dependencies. Like everything else in R, package names are also case sensitive. Here, replace with the name of the package that you need to install. You can use the following command to install a package in R. It loads some of these packages into the library by default while some need to be loaded for every session. R already has several packages installed. You need to load the package into the library for every session.ĭon’t have R installed yet? Follow the step by step tutorial to install R. The library is a directory where packages in the current R session are loaded. To use a package in R, you must first install it and then load it into your library. Many popular R packages can be found on the Github repository. It has packages, extensions, and libraries for almost all software and languages. It is the largest open-source repository. Github: Github does not store packages for R alone. Like CRAN, it also has a submission and review process. Packages uploaded here need to pass several tests to ensure that CRAN policies are being followed.īioconductor: Bioconductor is an open-source repository for bioinformatics packages.

While anyone can have their own local repository, there are three most popular repositories available online for R packages.ĬRAN: CRAN or Comprehensive R Archive Network is the largest repository for R packages. Repositories are places where packages are stored online so that users can download and use them. The CRAN repository has more than 15000 R packages ready to use. This means that there are a lot of R packages for almost every use imaginable and more packages are uploaded every day. R is an open-source programming language and anyone can make and upload a new package. They enhance R’s existing abilities and even provide new ones. Packages are collections of functions and datasets that can be installed and used in the R environment.

R update packages