collapse: Advanced and Fast Data Transformation

A C/C++ based package for advanced data transformation in R that is extremely fast, flexible and parsimonious to code with and programmer friendly. It is well integrated with 'dplyr', 'plm' and 'data.table'. — Key Features: — (1) Advanced data programming: A full set of fast statistical functions supporting grouped and/or weighted computations on vectors, matrices and data.frames. Fast (ordered) and reusable grouping, quick data conversions, and quick select, replace or add data.frame columns. (2) Advanced aggregation: Fast and easy multi-data-type, multi-function, weighted, parallelized and fully customized data aggregation. (3) Advanced transformations: Fast (grouped, weighted) replacing and sweeping out of statistics, scaling, centering, higher-dimensional centering, complex linear prediction and partialling-out. (4) Advanced time-computations: Fast (sequences of) lags / leads, and (lagged / leaded, iterated) differences and growth rates on (unordered) time-series and panel data. Multivariate auto, partial and cross- correlation functions for panel data. Panel data to (ts-)array conversions. (5) List Processing: (Recursive) list search / identification, extraction / subsetting, data-apply, and row-binding / unlisting in 2D. (6) Advanced data exploration: Fast (grouped, weighted, panel-decomposed) summary statistics for complex multilevel / panel data.

Version: 1.1.0
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.1), lfe (≥ 2.7)
LinkingTo: Rcpp
Suggests: dplyr, plm, data.table, ggplot2, scales, vars, knitr, rmarkdown, testthat, microbenchmark
Published: 2020-04-01
Author: Sebastian Krantz [aut, cre], Matt Dowle [ctb], Arun Srinivasan [ctb], Simen Gaure [ctb], Dirk Eddelbuettel [ctb], R Core Team and contributors worldwide [ctb], Martyn Plummer [cph], 1999-2016 The R Core Team [cph]
Maintainer: Sebastian Krantz <sebastian.krantz at graduateinstitute.ch>
BugReports: https://github.com/SebKrantz/collapse/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
SystemRequirements: C++11
Materials: NEWS
CRAN checks: collapse results

Downloads:

Reference manual: collapse.pdf
Vignettes: collapse and dplyr: Fast (weighted) Aggregations, Transformations and Time-Series/Panel Computations in a dplyr Workflow
collapse and plm: Fast Transformation and Exploration of Panel Data
Introduction to collapse: Advanced and Fast Data Transformation in R
Package source: collapse_1.1.0.tar.gz
Windows binaries: r-devel: collapse_1.1.0.zip, r-devel-gcc8: collapse_1.0.0.zip, r-release: collapse_1.1.0.zip, r-oldrel: collapse_1.0.0.zip
OS X binaries: r-release: collapse_1.0.0.tgz, r-oldrel: collapse_1.0.0.tgz
Old sources: collapse archive

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