R And R Studio For Mac

When was the last time you update your R and RStudio?

R - Install R and R Studio on Windows 10 - Duration: 10:37. Xperimental Learning 60,453 views. How to Install R for Mac and Use a Few Basic Functions - Duration: 6:46. When was the last time you update your R and RStudio? 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.

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.

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. Although installing R and RStudio on Mac OS X wasn’t particularly difficult, I thought I would make some notes here, in case they’re useful to someone else. RStudio is the premier integrated development environment for the R statistical programming langauge. It is available in open source and commercial editions and runs on the desktop (Mac, Linux, and Windows) or over the web with RStudio Server.

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)

Torrent

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)

R And Rstudio For Mac

install.packages('installr')

library(installr)

updateR()

You can find the tutorial on how to use installr to update RStudio on R-Statistics website.

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)

R Studio

install.packages('devtools') #assuming it is not already installed

library(devtools)

Download R And R Studio

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):

1. Move all folders from your old R version to new R version.

/Library/Frameworks/R.framework/Versions/x.xx/Resources/library

Update R Studio For Mac

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()

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 Studio For Machine Learning

version

packageStatus()

That’s it! Hope you guys success in updating R. If not, please check in the reference link below.

R Studio For Microsoft

References: https://stackoverflow.com/questions/13656699/update-r-using-rstudio