Unit Testing R Code

John Mount points out that you don’t need special infrastructure to perform unit testing in R:

There seems to be a general (false) impression among non R-core developers that to run tests, R package developers need a test management system such as RUnit or testthat. And a further false impression that testthat is the only R test management system. This is in fact not true, as R itself has a capable testing facility in “R CMD check” (a command triggering R checks from outside of any given integrated development environment).

By a combination of skimming the R-manuals ( https://cran.r-project.org/manuals.html ) and running a few experiments I came up with a description of how R-testing actually works. And I have adapted the available tools to fit my current preferred workflow. This may not be your preferred workflow, but I have and give my reasons below.

Food for thought for any R developer.

Related Posts

Dependencies as Risks

John Mount makes the point that packages dependencies are innately a risk: If your software or research depends on many complex and changing packages, you have no way to establish your work is correct. This is because to establish the correctness of your work, you would need to also establish the correctness of all of […]

Read More

Custom ggplot2 Fonts

Daniel Oehm shares two techniques for using custom fonts in your ggplot2 visuals: ggplot – You can spot one from a mile away, which is great! And when you do it’s a silent fist bump. But sometimes you want more than the standard theme. Fonts can breathe new life into your plots, helping to match […]

Read More

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Categories

March 2019
MTWTFSS
« Feb  
 123
45678910
11121314151617
18192021222324
25262728293031