Developer time vs Execution time: When should you refactor your R code for speed? (CC028) скачать в хорошем качестве

Developer time vs Execution time: When should you refactor your R code for speed? (CC028)

In this screencast tutorial, Pat Schloss shows how you can profile R code to identify bottlenecks with the profvis package and points in your analysis that need to be refactored. Along the way he'll present commands from the data.table package that are faster, but have more challenging syntax, than those from the tidyverse. He'll also discuss the tradeoffs of programmer time versus execution time and when you might decide to forgo refactoring your code. This episode is part of a larger arc of episodes investigating the sensitivity and specificity of amplicon sequence variants (ASVs), also known as exact sequence variants (ESVs). ASVs are growing in popularity for analyzing microbial communities using 16S rRNA gene sequences. Pat demonstrates these concepts by live coding at the command line interface using RStudio, GitHub Flow, and make. He then turns viewers loose to work through several activities to answer related questions and finishes by giving his solutions. The accompanying blog post contains the exercises and solutions can be found at http://www.riffomonas.org/code_club/2....