![]() How to move the previously installed R packages You can find in-depth tutorial on how to use updateR package on this blog. UpdateR(admin_password = 'Admin user password') Install_github('andreacirilloac/updateR') Install.packages('devtools') #assuming it is not already installed The R code you will need is these 5 lines: (credit goes to jroberayalas for the code) Similar to installr, updateR is the package to help updating R on Mac OS. ![]() You can find the tutorial on how to use installr to update RStudio on R-Statistics website. The R code you will need for updating R is: (credit goes to Cara Wogsland for the code) Installr is the R package which helps install and update software. Take note of your previous packages so you can install them again as needed. I would recommend to save your time from headache and use this method. Update : For Mac users, solution 3 is too painful and not working well for me. The new R version appear right after I install R and restart RStudio The new R version will be loaded automatically. The first method is to download a new version of R from R website > CRAN. 3 Solutions to update R on RStudio Solution 1) Manually install (Recommended if you don't care about the old packages) ![]() Note that we need to move the install R packages, which I will show how at the end. Here are 3 ways you can update R version in RStudio. So it is required extra procedures to move the packages. After you install the new version, the previously installed packages will not go to next version. ![]() RStudio and R cannot update on their own because some packages may not work after switching to the new version (You can still downgrade R version in RStudio if something went wrong though). So I explore some ways to update R and would like to share with someone who is also looking to update R on RStudio. ![]() Today I just noticed I cannot install new R packages because of my old R version. I installed RStudio and R a year ago, and never update it since then. When was the last time you update your R and RStudio? ![]()
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