Manuel Landesfeind<p>Hive mind, do you employ (unit) testing in data analysis scripts? If so, how and what are your best practices? </p><p>We frequently develop packages with unit testing. But equally often write "run-once" analysis scripts/notebooks. Those often contain functions and (more often) assumptions on loaded data but we rarely test/check these. This is something to improve but I wonder how others handle this.</p><p><a href="https://genomic.social/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RStats</span></a> <a href="https://genomic.social/tags/rmarkdown" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rmarkdown</span></a> <a href="https://genomic.social/tags/testthat" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>testthat</span></a> <a href="https://genomic.social/tags/assertthat" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>assertthat</span></a> <a href="https://genomic.social/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</span></a> <a href="https://genomic.social/tags/jupyter" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>jupyter</span></a> <a href="https://genomic.social/tags/unittesting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>unittesting</span></a> <a href="https://genomic.social/tags/datascience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datascience</span></a> <a href="https://genomic.social/tags/bioinformatics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bioinformatics</span></a></p>