# Compare the installed packages in the new R version with all the packages from the old R version. Old_packages <- installed.packages(lib.loc = "C:/Users/Maysaa/Documents/R/win-library/4.0") So, 4.0 in the following is the number of the old version # Get all the installed packages in the older R version by using the above path after replacing the number of the version. # Find the path to the package library in the current R version: In case the packages were not copied from the old version, you can do the following: This is taken from this question on stackoverflow. This is a good idea especially if you have many packages.Īfter the update is complete, restart RStudio and check the R version. The updateR() function in installr package will install the new R version and it will ask you if you wish to copy your packages from the older R version. To update R, open The Rgui and paste the following: install.packages("installr") If you decide to update R, then you will have to do this in R and not in RStudio. This will give detailed information about your R version. Updating Rįirst, check the R version in RStudio by typing: R.Version()
It will install RStudio in the same folder as the previous version and will automatically perform the necessary changes. Once you have the downloaded file, run it. If there are available updates, you will be directed to visit the RStudio website to download the latest version.
If you wish to check the availability of updates, go to the same Help menu, but this time, click Check for Updates. You can check which version of RStudio you already have by going to the Help menu at the top and clicking About. Naturally, you might consider updating RStudio every once in a while to make sure you get the best functionality. You can download and install this software for free from this link. Some of the great features of RStudio include code completion suggestions, executing code directly from the editor, and support for TeX documents. It offers a friendly and elegant platform to use R and organize data, files, and plots. RStudio is an Integrated Development Environment for R.
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