<p><div><div><div><div data-show-faces="false" data-height="21" data-width="100" data-layout="button_count" data-send="true" data-href="https://www.r-bloggers.com/how-to-install-and-include-an-r-package/"></div></div><div></div></div><div></div></div>
<div>
(This article was first published on <strong><a href="https://blog.datazar.com/how-to-install-and-include-an-r-package-cb741a8fa737?source=rss----e2c7e6e1c75--r_language"> R Language in Datazar Blog on Medium</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>We get a lot of questions about the usage of R libraries. The most common question is “can I use all the R libraries in your notebooks/consoles?”</p>
<p>Yes! You can use <strong>any</strong> of the libraries that have been published to the R package repository (CRAN).</p>
<p>Open up your notebook/console:</p>
<h4>1. Install</h4>
<p>install.packages(&quot;ggplot2&quot;) this will install the package if it hasn’t already been installed.</p>
<h4>2. Include</h4>
<p>library(ggplot2) this will call/include the library into your session.</p>
<h4>3. Use</h4>
<p>ggplot(data=iris,aes(x=Sepal.Length,y=Petal.Length))+geom_point()</p>
<p>Remember, when installing packages, you have to use quote marks inside the install.packages(&quot;&quot;) function but not when including them using the library().</p>
<p>Once libraries are installed, you don’t have to install them again. You can just call them with library() and then use them as you wish.</p>
<figure><img alt="" src="https://i2.wp.com/cdn-images-1.medium.com/max/1024/1*ZpAU1gXjjq3GRzbZAy7ASw.png?w=456&ssl=1" data-recalc-dims="1"></figure>
<p>Link to notebook: <a rel="nofollow" href="https://www.datazar.com/file/f105230b5-0a2f-4976-af08-db1b00f793a4" target="_blank">https://www.datazar.com/file/f105230b5-0a2f-4976-af08-db1b00f793a4</a></p>
<p><img width="1" src="https://medium.com/_/stat?event=post.clientViewed&referrerSource=full_rss&postId=cb741a8fa737" height="1"></p>
<hr>
<p><a rel="nofollow" href="https://blog.datazar.com/how-to-install-and-include-an-r-package-cb741a8fa737" target="_blank">How to Install and Include an R Package</a> was originally published in <a rel="nofollow" href="https://blog.datazar.com/" target="_blank">Datazar Blog</a> on Medium, where people are continuing the conversation by highlighting and responding to this story.</p>
	<p>
<div>
<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="https://blog.datazar.com/how-to-install-and-include-an-r-package-cb741a8fa737?source=rss----e2c7e6e1c75--r_language"> R Language in Datazar Blog on Medium</a></strong>.</div>
<hr>
<a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers.com</a> offers <strong><a rel="nofollow" href="https://feedburner.google.com/fb/a/mailverify?uri=RBloggers">daily e-mail updates</a></strong> about <a rel="nofollow" href="https://www.r-project.org/" title="The R Project for Statistical Computing">R</a> news and <a rel="nofollow" href="https://www.r-bloggers.com/search/tutorial" title="R tutorials">tutorials</a> on topics such as: <a rel="nofollow" href="https://www.r-bloggers.com/search/data%20science" title="Data science">Data science</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/Big%20Data" title="Big Data">Big Data, <a rel="nofollow" href="https://www.r-users.com/" title="R jobs">R jobs</a>, visualization (<a rel="nofollow" href="https://www.r-bloggers.com/search/ggplot2" title="ggplot and ggplot2 tutorials">ggplot2</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/boxplot" title="Boxplots using lattice and ggplot2 tutorials">Boxplots</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/map" title="Maps and gis">maps</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/animation" title="Animation in R">animation</a>), programming (<a rel="nofollow" href="https://www.r-bloggers.com/search/RStudio" title="RStudio IDE for R">RStudio</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/sweave" title="Sweave and literate programming">Sweave</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/LaTeX" title="LaTeX in R">LaTeX</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/SQL" title="SQL and databases">SQL</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/eclipse" title="Eclipse IDE for R">Eclipse</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/git" title="git and github, Version Control System">git</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/hadoop" title="Large data in R using Hadoop">hadoop</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/Web+Scraping" title="Web Scraping of google, facebook, yahoo, twitter and more using R">Web Scraping</a>) statistics (<a rel="nofollow" href="https://www.r-bloggers.com/search/regression" title="Regressions and ANOVA analysis tutorials">regression</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/PCA" title="principal component analysis tutorial">PCA</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/time+series" title="Time series">time series</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/trading" title="finance trading">trading</a>) and more...
<img width="1" alt="" src="http://feeds.feedburner.com/~r/RBloggers/~4/SDJvMWONPas" height="1"></a></div>