#UPDATE RSTUDIO ON MAC HOW TO#
#UPDATE RSTUDIO ON MAC INSTALL#
#UPDATE RSTUDIO ON MAC UPGRADE#

Reinstalling packages with the new version of RĪfter upgrading R, if you have any packages that were built with an older version of R, you should reinstall those packages to avoid compatibility issues. In general, there are no issues with subminor version upgrades, like going from 3.3.2 to 3.3.3, but there can be compatibility problems when there is a major or minor version upgrade. New minor versions are released about once per year.

The current version as of the writing of this document, 3.4.0, has a major version 3, minor version 4, and subminor version 0. In a production environment, we strongly suggest testing new versions of R and packages on a staging server before deploying to a production server. Because the cause of these problems will not be obvious, upgrading R on a server should be done with care. On servers running Linux, it is possible that after an R version upgrade, your R packages will load without trouble, but they might not work correctly, or they might even crash R when used. You probably don’t need to read the rest of this document unless you want to learn much more about package libraries. If you are using a system like this, you can just reinstall your packages after upgrading R. This is an inconvenience, but the problem is obvious and it is easy to fix.

#UPDATE RSTUDIO ON MAC UPGRADE#

On most single-user systems (Mac, Windows, and Linux), when you upgrade to a new minor version of R (like 3.3.0 to 3.4.0), R will not find the packages, you will need to reinstall your R packages.

#UPDATE RSTUDIO ON MAC HOW TO#

The purpose of this document is to explain these problems, and how to fix them. In other cases, R will find the existing packages, but they might not work correctly.

In some cases, the new version of R won’t find your existing R packages. When you upgrade to a new version of R on your computer, it’s possible that everything will continue to work without any trouble, but it’s also possible that you’ll run into problems. the first of those two steps will be performed leveraging built-in function download.file() : download.Upgrading R: package compatibility issues

#UPDATE RSTUDIO ON MAC INSTALL#

I will probably (hopefully) develop this within next releases, and collaboration on this would be really welcome.Īfter defining the download URL we can actually proceed with downloading the package and install it. One thing still missing here is the comparison between version installed on the maching calling the function and the retrieved version on CRAN. This URL is composed pasting the CRAN mirror url togheter with the filename object: url <- paste(page_source,filename, sep = '') page a')įilename % strsplit(' ', fixed = TRUE) # the resulting value is a listįilename <- filename] # we take the second element, containing the name of the fileįilename_quoted <- paste(''',filename,''',sep = '')īe aware that resulting filename object will be a string similar to the following :“R-xx.xx.xx.pkg”, since we are looking to compose a download URL for the version package on our machine.

UpdateR does it importing in R the html code of the rstudio CRAN mirror page ( ) and extracting from it the version number. How would you programmatically check for the latest R version?

Update rstudio on mac