collapse Documentation and Resources

Sebastian Krantz


collapse is a C/C++ based package for data transformation and statistical computing in R. It’s aims are:

  1. To facilitate complex data transformation, exploration and computing tasks in R.
  2. To help make R code fast, flexible, parsimonious and programmer friendly.

Documentation comes in 5 different forms:

Built-In Structured Documentation

After installing collapse, you can call help("collapse-documentation") which will produce a central help page providing a broad overview of the entire functionality of the package, including direct links to all function documentation pages and links to 13 further topical documentation pages (names in .COLLAPSE_TOPICS) describing how clusters of related functions work together.

Thus collapse comes with a fully structured hierarchical documentation which you can browse within R - and that provides everything necessary to fully understand the package. The Documentation is also available online.

The package page under help("collapse-package") provides some general information about the package and its design philosophy, as well as a compact set of examples covering important functionality.

Reading help("collapse-package") and help("collapse-documentation") is the most comprehensive way to get acquainted with the package. help("collapse-documentation") is always the most up-to-date resource.


An up-to-date (v2.0) cheatsheet compactly summarizes the package.

useR 2022 Presentation and Slides

I have presented collapse (v1.8) in some level of detail at useR 2022. A 2h video recording that provides a quite comprehensive introduction is available here. The corresponding slides are available here.


Updated vignettes are

The other vignettes (only available online) do not cover major features introduced in versions >= 1.7, but contain much useful information and examples:


I maintain a blog linked to where I introduced collapse with some compact posts covering central functionality. Among these, the post about programming with collapse is useful for developers.