“Supposedly Educational” | Upgrading to R 3.3.0 on Windows


R 3.3.0 (codename “Supposedly Educational”)  was released early last week and is now available from CRAN for Windows, (Mac) OS X and Linux systems. This release is a major annual update to R so we’ll need to reinstall all our packages on the new version. Luckily for Windows users like me (Hey!), Tal Galili’s installr package automates the process and is detailed below.


Upgrading to R 3.3.0 on Windows

If you are using Windows you can easily upgrade to the latest version of R using the installr package. Simply run the following code in Rgui:

install.packages("installr") # install 
installr::updateR() # updating R.

Running “updateR()” will detect if there is a new R version available, and if so it will download+install it (etc.). There is also a step by step tutorial (with screenshots) on how to upgrade R on Windows, using the installr package.

Changes in R 3.3.0

David Smith mentioned some of the main changes, writing:

  • Support on all platforms for downloading data from secure HTTPS-enabled sites using download.file
  • A new function sigma to calculate residual standard deviation for a variety of statistical models
  • Speed improvements for a number of low-level R functions (which are in turn called my many higher-level functions, and likely your own R code). These include speedups for vector selection with boolean data, function argument matching, sorting vectors, and finding a single value in a vector with match
  • R now includes a new, high-performance radix sort algorithm. This algorithm was contributed by Matt Dowle, who used it to make the data.table package fast, and now it’s available to all R developers.
  • R’s icons are now based on the new “flat” version of the R logo (thanks to an SVG version contributed by RStudio)
  • Packages built using C++11 code are now supported on Windows
  • Various bug fixes, including one that could sometimes cause R to crash when it runs out of resources.


For more information about this latest release, see this link:


Loving the new logo!



2 thoughts on ““Supposedly Educational” | Upgrading to R 3.3.0 on Windows

    • Hi Tal,

      Blog post updated! I’ve always been a fan of yours, especially after watching your 2014 full DataScience.LA interview with de la Rubia posted on youtube! Great blog too! As someone who are into data science with R, it’s really inspiring to
      see very informative content online. I’ll definitely be keeping an eye on the initiatives you do



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