collapse
Advanced and Fast Data Transformation
A C/C++ based package for advanced data transformation and statistical computing in R that is extremely fast, class-agnostic, robust and programmer friendly. Core functionality includes a rich set of S3 generic grouped and weighted statistical functions for vectors, matrices and data frames, which provide efficient low-level vectorizations, OpenMP multithreading, and skip missing values by default. These are integrated with fast grouping and ordering algorithms (also callable from C), and efficient data manipulation functions. The package also provides a flexible and rigorous approach to time series and panel data in R. It further includes fast functions for common statistical procedures, detailed (grouped, weighted) summary statistics, powerful tools to work with nested data, fast data object conversions, functions for memory efficient R programming, and helpers to effectively deal with variable labels, attributes, and missing data. It is well integrated with base R classes, 'dplyr'/'tibble', 'data.table', 'sf', 'units', 'plm' (panel-series and data frames), and 'xts'/'zoo'.
- https://sebkrantz.github.io/collapse/
- GitHub
- https://x.com/collapse_R
- File a bug report
- collapse results
- collapse.pdf
- Version2.0.17
- R version≥ 3.4.0
- LicenseGPL-2
- LicenseGPL-3
- Licensefile LICENSE
- Needs compilation?Yes
- collapse citation info
- Last release11/03/2024
Documentation
- Vignettecollapse and sf
- Vignettesource
- Vignettecollapse Documentation and Resources
- Vignettesource
- Vignettecollapse for tidyverse Users
- Vignettesource
- VignetteR code
- Vignettecollapse's Handling of R Objects
- Vignettesource
- VignetteR code
- MaterialNEWS
- In ViewsEconometrics
- In ViewsOfficialStatistics
- In ViewsTimeSeries
Team
Sebastian Krantz
Matt Dowle
Show author detailsRolesContributorArun Srinivasan
Show author detailsRolesContributorMorgan Jacob
Show author detailsRolesContributorDirk Eddelbuettel
Show author detailsRolesContributorLaurent Berge
Show author detailsRolesContributorKevin Tappe
Show author detailsRolesContributorR Core Team and contributors worldwide
Show author detailsRolesContributorMartyn Plummer
Show author detailsRolesCopyright holder1999-2016 The R Core Team
Show author detailsRolesCopyright holder
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Imports1 package
- Suggests21 packages
- Linking To1 package
- Reverse Depends1 package
- Reverse Imports26 packages
- Reverse Suggests9 packages