When was the last time you update your R and RStudio?
Installing and Using R Packages What is R packages? Installing R packages. Every time you install an R package, R may ask you to specify a CRAN mirror (or server). R packages are installed in a directory called library. The R function.libPaths can be used to get the path to the library.
I installed RStudio and R a year ago, and never update it since then. Today I just noticed I cannot install new R packages because of my old R version. So I explore some ways to update R and would like to share with someone who is also looking to update R on RStudio.
The problem
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). After you install the new version, the previously installed packages will not go to next version. So it is required extra procedures to move the packages.
Here are 3 ways you can update R version in RStudio. Note that we need to move the install R packages, which I will show how at the end.
3 Solutions to update R on RStudio
Solution 1) Manually install (Recommended if you don't care about the old packages)
Q&A for Work. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. Jan 12, 2020 With either the desktop or a Finder window as the frontmost application, hold down the option key and select the Go menu. The Library folder will be listed as one of the items in the Go menu. Select Library and a Finder window will open showing the contents of the Library folder. Restart R and install our packages. For this tutorial, I’m using /R/library for the custom library, but you can set it to any folder you wish. The first step, create the directory. Note that this will give you a warning message if the directory already exists. Oct 15, 2017 R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job. Want to share your content on R-bloggers? Click here if you have a blog, or here if you don't. In this document R refers to the core, command-line-based R system while R.APP refers to the GUI-based Mac OS application that controls the underlying R. This ‘R for Mac OS X FAQ’ is rather incomplete at the moment and requires contributions from users. Installing R on Mac OS is similar to Windows. Once again, The easiest way is to install it through CRAN by going to the CRAN downloads page and following the links as shown in the video below: The next step is to click on the 'R-3.6.2.pkg' (or newer version) file to begin the installation.
The first method is to download a new version of R from R website > CRAN. Then restart your RStudio. The new R version will be loaded automatically.
The new R version appear right after I install R and restart RStudio
Update 29/05/2019: For Mac users, solution 3 is too painful and not working well for me. This method is fast and working well. I would recommend to save your time from headache and use this method. Take note of your previous packages so you can install them again as needed.
Solution 2) Windows only – use installr
installr is the R package which helps install and update software.
The R code you will need for updating R is: (credit goes to Cara Wogsland for the code)
install.packages('installr')
library(installr)
How To Install Mac Os
updateR()
You can find the tutorial on how to use installr to update RStudio on R-Statistics website.
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Solution 3) Mac only – use updateR
Similar to installr, updateR is the package to help updating R on Mac OS.
The R code you will need is these 5 lines: (credit goes to jroberayalas for the code)
install.packages('devtools') #assuming it is not already installed
library(devtools)
install_github('andreacirilloac/updateR')
library(updateR)
updateR(admin_password = 'Admin user password')
You can find in-depth tutorial on how to use updateR package on this blog.
How to move the previously installed R packages
This is the instructions for Mac OS user (who used solution 1 or 3 above). For Windows user, installr package will do this for you
(credit goes to RyanStochastic and micstr):
This means that users will need XQuartz installed too to run the client. This is how we compile otclient on Mac OS X, we use XQuartz to compile and run otclient, which is an X11 implementation for Mac OS, we do not use the native Cocoa API. https://luckylazy.netlify.app/how-to-compile-a-library-c-mac.html.
1. Move all folders from your old R version to new R version.
/Library/Frameworks/R.framework/Versions/x.xx/Resources/library
Replace x.xx with the old and new R version at a time.
Note that you have to move only the packages that are not currently in the destination folder (because those are the base packages, and you don’t want to ruin them). But if you already did replaced everything, the next step will solve this for you.
If you cannot find the proper path, you can run this command to check: installed.packages()
R Install On Mac
2. Update the moved packages
Run the following command in R. Type ‘y’ for every question that popped up.
update.packages(checkBuilt=TRUE)
3. Type the following command in R to check if everything went well
R For Mac
version
packageStatus()
R Install Library Mac Os
That’s it! Hope you guys success in updating R. If not, please check in the reference link below.
References: https://stackoverflow.com/questions/13656699/update-r-using-rstudio