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. If updates are available, select All (or just tidyverse), and click Install Updates.For completeness, the answer is: you can't do that from within RStudio. To update packages, go to Tools > Check for Package Updates.

You should be able to click “Next” to all dialogs to finish the installation. When the file finishes downloading, double-click to install. When you restart RStudio, it will use the updated version of R. On Mac, you can simply download and install the newest version of R. You are ready for Data Science Essentials for R! This will start the updating process of your R installation by: “finding the latest R version, downloading it, running the installer, deleting the installation file, copy and updating old packages to the new R installation.”įrom within RStudio, go to Help > Check for Updates to install newer version of RStudio (if available, optional). Install and load installr: install.packages('installr') and library(installr)Ĭall updateR() function. To update R on Windows, try using the package installr (only for Windows)

Updating r in rstudio