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'.

Package details

AuthorSebastian Krantz [aut, cre] (<https://orcid.org/0000-0001-6212-5229>), Matt Dowle [ctb], Arun Srinivasan [ctb], Morgan Jacob [ctb], Dirk Eddelbuettel [ctb], Laurent Berge [ctb], Kevin Tappe [ctb], R Core Team and contributors worldwide [ctb], Martyn Plummer [cph], 1999-2016 The R Core Team [cph]
MaintainerSebastian Krantz <sebastian.krantz@graduateinstitute.ch>
LicenseGPL (>= 2) | file LICENSE
Version2.0.17
URL https://sebkrantz.github.io/collapse/ https://github.com/SebKrantz/collapse https://x.com/collapse_R
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("collapse")

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collapse documentation built on Nov. 3, 2024, 9:08 a.m.