collapse

{collapse} 2.1.0 is out! It introduces a new fslice() function (sebkrantz.github.io/collapse/ref...), a new theory-consistent weighted quantile algorithm (sebkrantz.github.io/collapse/ref...) with excellent properties. And some convenience features such as join requirements: #rstats #DataScience

collapse: Advanced and Fast Statistical Computing and Data Transformation in R collapse is a large C/C++-based infrastructure package facilitating complex statistical computing, data transformation, and exploration tasks in R - at outstanding levels of performance and memory eff...

The {collapse} (@rcollapse.bsky.social) arXiv paper has just been updated - following extensive revision: arxiv.org/abs/2403.05038. I believe it is a great resource for anyone doing scientific computing with #rstats.

Benchmarks An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R - fastverse/fastverse

There is now a #fastverse benchmark wiki (github.com/fastverse/fa...) where users can freely contribute benchmarks. If you have benchmarks involving {fastverse} packages ({collapse}, {data.table}, etc., including extensions) please contribute them (takes 1 min) #rstats #DataScience

I just improved the vignette a bit further, adding some detailed benchmarks and a section on Global Options. I needed to correct myself: it is not true that {collapse} global options should never be invoked in packages - they just need to be reversed like #rstats global options.

It's nice to see an increasing number of #rstats packages use {collapse}. A developer focused vignette was long planned and now it is here - with modest advice on writing efficient R package code in general and using {collapse} in particular: sebkrantz.github.io/collapse/art...