Continuous integration is an amazing tool when developing R packages. We push a change to the server, and a process is spawned that checks we haven’t done something silly. It protects us from ourselves! However this process can become slow, as typically the CI process starts with a blank virtual machine (VM). If you are
Faster package installation Every few weeks or so, a tweet pops up asking about how to speed up package installation in R Depending on the luck of twitter, the author may get a few suggestions. The bigger picture is that package installation time is starting to become more of an issue for a number of
One of the great things about R, is the myriad of packages. Packages are typically installed via CRAN Bioconductor GitHub But how often do we think about what we are installing? Do we pay attention or just install when something looks neat? Do we think about security or just take it that everything is secure?
At Jumping Rivers we run a lot of R courses. Some of our most popular courses revolve around the tidyverse, in particular, our Introduction to the tidyverse and our more advanced mastering course. We even trained over 200 data scientists NHS – see our case study for more details. As you can imagine, when giving
Can’t be bothered reading, tell me now The wonder of CRAN Parallel package installation: Ncpus Does it work? A permanent change: .Rprofile References Can’t be bothered reading, tell me now A simple one line tweak can significantly speed up package installation and updates. The wonder of CRAN One of the best features of R is