In this example, we want to load the DBI that’s why we are selecting the DBI. Once you type a character or letter, then it displays the list of available ones in CRAN, starting with that letter. tar.gz): Please select this option if you want to load the downloaded zip files or third-party websites.

Repository (CRAN, CRANextra): This option helps to install packages available in the R CRAN mirror.

Once you click on the tab, the following pop-up opens. Under the R packages tab, Please click on the Install tab for a new source package. For this, we have to use the Files, Plots, Packages, Help, and Viewer section. If you don’t know the name or you want to check all the names available in R Programming, then this approach of installing a package is beneficial. The second approach to Install R Packages If there is an issue, it throws an error saying that there is no RODBC. Step 4: Below screenshot shows that we haven’t got any error messages while installing the R package. This library () also helps us to check whether we have successfully done it or not. Step 3: Type library (RODBC) to load the package, and you can see that it is showing a list of available ones along with our RODBC. From the screenshot below, you can observe that R Studio installed the ‘RODBC’ package. Step 2: You might get a slightly different output but don’t worry about the output unless you see an error message.

TIP: Type?PackageName, or help(PackageName) to get the information about it. Here, we want to install the R RODBC package, which is useful to load data from Database management systems like SQL Server.

Step 1: Please replace the name with your desired package name in this programming. The Syntax behind this function is: install.packages('packageName') If you know the name, then this approach is handy. Install R PackagesĪ quick and easy way to install a package in R is with the following function. In this R article, we are going to focus on the most commonly used techniques to install the package. There are multiple ways to install R Packages. A package is a collection of functions, sample data, and documentation that describes how to use them. Packages are the fundamental concept of code reusability in R programming.

Download packages in r