To start the updating process for your R installation, type updateR().

Once R studio is done installing the package, load it by typing require(installr) in the Console. Alternatively, you may type install.packages('installr') in the Console. then type the name 'installr' and click install. The package was built under version 3.2.3įrom R Studio, click on Tools and select Install Packages. There's a new package called installr that can update your R version within R on the Windows platform. Version 7.3-7 installed in /Library/Frameworks/R.framework/Versions/3.0/Resources/libraryįinally, to reassure yourself that you have done everything, type these two commands in the RStudio console to see what you have got: > version Now you can update your packages by typing update.packages() in your RStudio console, and answering 'y' to all of the prompts. If those paths don't work for you, try using installed.packages() don't overwrite your new 'base' package with your old one - if you did, don't worry, we'll fix it in the next step anyway. And only copy whatever packages aren't already in the destination directory. [where you'll replace '2.15' and '3.0' with whatever versions you're upgrading from and to.

To here: /Library/Frameworks/R.framework/Versions/3.0/Resources/library Move the packages from the old R installation into the new version on Mac OSX, this means moving all folders from here: /Library/Frameworks/R.framework/Versions/2.15/Resources/library

To ensure that your packages work with your shiny new version of R, you need to: Ok, I use a Mac, so I can only provide accurate details for the Mac - perhaps someone else can provide the accurate paths for windows/linux I believe the process will be the same. follow the installation procedure for your operating system.then choose the CRAN site that you like.

It would be great if there was an update.R() function, analogous to the install.packages() function or the update.packages(function). has it right - you need to install the newer version of R, then restart RStudio and it will automagically use the new version, as noted. For completeness, the answer is: you can't do that from within RStudio.

R studio update r version