

{"id":2656,"date":"2017-05-26T10:09:08","date_gmt":"2017-05-26T04:39:08","guid":{"rendered":"http:\/\/data-flair.training\/blogs\/?p=2656"},"modified":"2020-02-03T16:57:00","modified_gmt":"2020-02-03T11:27:00","slug":"r-packages-tutorial","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/r-packages-tutorial\/","title":{"rendered":"R Packages Tutorial &#8211; How to Install &amp; Use Packages in R Programming"},"content":{"rendered":"<p>In this tutorial, we will explore the concept of packages in R programming along with its installation process in Windows and Linux. Also, we will learn about different R packages with their specific use and process to load packages in R.<\/p>\n<p><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2017\/05\/R-Packages-Tutorial.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-64038\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2017\/05\/R-Packages-Tutorial.jpg\" alt=\"R Packages Tutorial\" width=\"802\" height=\"420\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2017\/05\/R-Packages-Tutorial.jpg 802w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2017\/05\/R-Packages-Tutorial-150x79.jpg 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2017\/05\/R-Packages-Tutorial-300x157.jpg 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2017\/05\/R-Packages-Tutorial-768x402.jpg 768w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2017\/05\/R-Packages-Tutorial-520x272.jpg 520w\" sizes=\"auto, (max-width: 802px) 100vw, 802px\" \/><\/a><\/p>\n<p><em><strong>Wait! Have you checked the <a href=\"https:\/\/data-flair.training\/blogs\/r-arguments-introduction\/\">tutorial on R Arguments<\/a><\/strong><\/em><\/p>\n<h2>Packages in R<\/h2>\n<p><em>A package is a collection of R functions, data, and compiled code in a well-defined format.<\/em> Packages are being stored in the directory called the library.\u00a0R comes with a standard set of packages. With the help of the<em> search()<\/em> command, you can find all the list of available packages that are installed in your system.<\/p>\n<p>Others are available for download and installation. Once installed, you need to load them into the session to use.<\/p>\n<p>We can observe an example of search() command as follows:<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"null\">search()<\/pre>\n<p>When the search() command is executed, you can overview the packages that are loaded and are ready for use.\u00a0You will see the graphics package that carries out routines to create graphs.<\/p>\n<p>There are many packages that are being installed but not loaded by themselves. <strong>For example &#8211;<\/strong>\u00a0Splines package, that contains routines for smoothing curves, is being installed. But this splines package is not loaded by itself.<\/p>\n<p>To see what packages are available, you need to type the following command:<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"null\">installed.packages()<\/pre>\n<p><em><strong>Time to gain expertise in <a href=\"https:\/\/data-flair.training\/blogs\/r-graphical-models-tutorial\/\">R Graphical Models<\/a><\/strong><\/em><\/p>\n<h3>How to Install R Packages for Windows<\/h3>\n<p>In Windows, you get the package menu and\u00a0install option which is very easy.<\/p>\n<p>After selecting a local mirror site, a list of available binary packages is being shown. You can choose the ones you need. Once you have selected the packages you need, you need to click the <strong>OK<\/strong> button to download and install them into R.<\/p>\n<p>If you download the package files from the internet(as .zip), you need to use the install package(s) in the packages menu. It allows you to select the files you need and again packages are unzipped and installed into R.<\/p>\n<h3>How to Install R Packages for Linux<\/h3>\n<p>To install R packages on the\u00a0Linux system, you need to perform the below steps:<\/p>\n<ul>\n<li>Download the required packages as compressed files from the link: <a style=\"text-align: center\" href=\"http:\/\/cran.r-project.org\/web\/packages\/available_packages_by_name.html\">Available packages by name<\/a><\/li>\n<\/ul>\n<ul>\n<li>Run the following command to install packages:<\/li>\n<\/ul>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"null\">R CMD INSTALL [options] [l-lib] pkgs<\/pre>\n<ul>\n<li>Use the following command to load the installed package:<\/li>\n<\/ul>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"null\">library(package)<\/pre>\n<p><em><strong>Don&#8217;t forget to check the <a href=\"https:\/\/data-flair.training\/blogs\/r-matrix-functions\/\">Matrix Function in R<\/a><\/strong><\/em><\/p>\n<h4>Installing by the Name of Package<\/h4>\n<p>In Linux, you can install the package if you know the name of a package.<\/p>\n<p>Use the following command to install any package:<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"null\">install.packages(\u2018ade4\u2019)<\/pre>\n<p>The following figure shows the installation of an\u00a0ade4 package by using its name:<\/p>\n<h3>R Packages List<\/h3>\n<p>The below table specifies the best packages in R with their usage:<\/p>\n<table width=\"100%\">\n<tbody>\n<tr>\n<td width=\"19%\"><strong>Package Name <\/strong><\/td>\n<td width=\"80%\"><strong>Use <\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"19%\">ade4<\/td>\n<td width=\"80%\">Used for analysis in ecological science<\/td>\n<\/tr>\n<tr>\n<td width=\"19%\">amap<\/td>\n<td width=\"80%\">Used for multidimensional analysis<\/td>\n<\/tr>\n<tr>\n<td width=\"19%\">ANN<\/td>\n<td width=\"80%\">Used for building and analyzing Artificial Neural Networks (ANN)<\/td>\n<\/tr>\n<tr>\n<td width=\"19%\">BayesLogit<\/td>\n<td width=\"80%\">Used for logistic regression analysis<\/td>\n<\/tr>\n<tr>\n<td width=\"19%\">C50<\/td>\n<td width=\"80%\">Used for developing decision trees and rule-based models<\/td>\n<\/tr>\n<tr>\n<td width=\"19%\">lattice<\/td>\n<td width=\"80%\">Used for creating lattice graphics for panel plots or trellis graphs<\/td>\n<\/tr>\n<tr>\n<td width=\"19%\">MASS<\/td>\n<td width=\"80%\">Used for modern applied statics using S-PLUS<\/td>\n<\/tr>\n<tr>\n<td width=\"19%\">mgcv<\/td>\n<td width=\"80%\">Used for building generalized additive models<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><em><strong>The concept that you can&#8217;t miss &#8211; <a href=\"https:\/\/data-flair.training\/blogs\/r-lattice-package\/\">R Lattice Package<\/a><\/strong><\/em><\/p>\n<h3>How to Use Packages in R<\/h3>\n<p>We need to load the package in R after installing them to make them usable.<\/p>\n<p>To load the R language Package, you can use the<em> library()<\/em> command, as follows:<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"null\">library(package)<\/pre>\n<p>In R, you can unload a package by using<em> detach()<\/em> command, as follows:<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"null\">detach(package:name)<\/pre>\n<p>This was all in R Packages tutorial. Hope you liked our explanation.<\/p>\n<p><em><strong>The next step in your R programming journey &#8211; <a href=\"https:\/\/data-flair.training\/blogs\/r-statistics\/\">R Statistical Programming<\/a><\/strong><\/em><\/p>\n<p>Any queries related to the article? Share your views in the comment section below.<span hidden class=\"__iawmlf-post-loop-links\" data-iawmlf-links=\"[{&quot;id&quot;:2352,&quot;href&quot;:&quot;http:\\\/\\\/cran.r-project.org\\\/web\\\/packages\\\/available_packages_by_name.html&quot;,&quot;archived_href&quot;:&quot;http:\\\/\\\/web-wp.archive.org\\\/web\\\/20250912164242\\\/https:\\\/\\\/cran.r-project.org\\\/web\\\/packages\\\/available_packages_by_name.html&quot;,&quot;redirect_href&quot;:&quot;&quot;,&quot;checks&quot;:[{&quot;date&quot;:&quot;2025-12-11 04:07:18&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2025-12-14 09:29:01&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2025-12-17 11:21:38&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2025-12-26 18:41:43&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-01-13 23:10:09&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-01-19 02:27:42&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-01-26 14:31:38&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-02-03 14:17:48&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-02-13 11:23:07&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-02-18 08:47:44&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-02-27 11:38:24&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-03-16 04:59:14&quot;,&quot;http_code&quot;:503},{&quot;date&quot;:&quot;2026-03-26 15:11:19&quot;,&quot;http_code&quot;:503},{&quot;date&quot;:&quot;2026-03-29 23:26:12&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-04-02 13:58:09&quot;,&quot;http_code&quot;:503},{&quot;date&quot;:&quot;2026-04-07 12:56:25&quot;,&quot;http_code&quot;:503},{&quot;date&quot;:&quot;2026-04-13 01:32:59&quot;,&quot;http_code&quot;:503},{&quot;date&quot;:&quot;2026-04-23 00:42:11&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-09 09:21:57&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-13 07:34:42&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-24 08:35:56&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-06-01 22:06:24&quot;,&quot;http_code&quot;:503},{&quot;date&quot;:&quot;2026-06-15 13:21:24&quot;,&quot;http_code&quot;:206}],&quot;broken&quot;:false,&quot;last_checked&quot;:{&quot;date&quot;:&quot;2026-06-15 13:21:24&quot;,&quot;http_code&quot;:206},&quot;process&quot;:&quot;done&quot;}]\"><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this tutorial, we will explore the concept of packages in R programming along with its installation process in Windows and Linux. Also, we will learn about different R packages with their specific use&#46;&#46;&#46;<\/p>\n","protected":false},"author":5,"featured_media":64038,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[51],"tags":[6794,9380,11194,11238],"class_list":["post-2656","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-r","tag-install-r-package","tag-packages-in-r","tag-r-functions","tag-r-packages"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>R Packages Tutorial - How to Install &amp; Use Packages in R Programming - DataFlair<\/title>\n<meta name=\"description\" content=\"With this R Packages Tutorial, learn about the concept of packages, its installation in Linux and Windows, packages list and steps to load packages in R programming.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/data-flair.training\/blogs\/r-packages-tutorial\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"R Packages Tutorial - How to Install &amp; 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