Step 6: Finally, click on the Finish button. Step 5: Clicking on Install will start the installation process. Step 4: Clicking on Next will direct you to choose the Start Menu Folder. Step 3: Clicking on Next will direct you to the installation location. Step 2: After the download is finished, click on the installer and click Next. Step 1: Clicking on Download will shift the page lower to the various platforms of R installation. Step 2: Here, you will find various versions of R.

Step 1: Go to the website – RStudio download Now, in order to install the IDE RStudio, we will take the following steps:

You must definitely check the Latest Features of R Programming 2. After this, the installation is complete and R is installed. Step 11: Clicking on Next will prompt the installation to start. You can create a desktop shortcut or a Quick Launch Startup by checking the boxes. Step 10: In the next step, you will be asked for additional details. By default, start menu folder cannot be created but you can change that by unchecking the checkbox. Step 9: In the next step, you will be asked to select the start menu folder. Click on No(accept defaults) as an ideal option. Step 8: In the next step, you will be asked if you would want to customize the startup. Step 7: After clicking on Next, you will be directed to select components for installation. Step 6: Then, it will provide you with an interface for selecting the destination for your R installation. Step 5: Clicking on Next will lead you to the important information of the license. Step 4: Select the language of your choice in the installer and click OK. Double click on the installer to launch it. Step 3: Clicking on the tab will download the R installer. Step 2: Click on the “Download R 3.6.0 for Windows” Step 1: Go to the website – CRAN R Project Windows For Ubuntu with Apt-get installed, execute sudo apt-get install r-base in terminal.

R can be installed in the following ways: The process of installing R depends on the type of your operating system.

Latest version of rstudio