A C/C++ based package for advanced data transformation and statistical computing 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 statistical programming: A full set of fast statistical functions supporting grouped and weighted computations on vectors, matrices and data frames. Fast and programmable grouping, ordering, unique values / rows, factor generation and interactions. Fast and flexible functions for data manipulation and data object conversions. (2) Advanced aggregation: Fast and easy multi-data-type, multi-function, weighted, parallelized and fully customized data aggregation. (3) Advanced transformations: Fast (grouped) replacing and sweeping out of statistics, and (grouped, weighted) scaling / standardizing, between (averaging) and (quasi-)within (centering / demeaning) transformations, higher-dimensional centering (i.e. multiple fixed effects transformations), linear prediction and partialling-out. (4) Advanced time-computations: Fast (sequences of) lags / leads, and (lagged / leaded, iterated, quasi-, log-) 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 generalized row-binding / unlisting in 2D. (6) Advanced data exploration: Fast (grouped, weighted, panel-decomposed) summary statistics for complex multilevel / panel data.
| Version: | 1.3.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Rcpp (≥ 1.0.1), lfe (≥ 2.7) |
| LinkingTo: | Rcpp |
| Suggests: | dplyr, plm, data.table, matrixStats, magrittr, ggplot2, scales, vars, knitr, rmarkdown, testthat, microbenchmark, covr |
| Published: | 2020-09-13 |
| 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 | file LICENSE [expanded from: GPL (≥ 2) | file LICENSE] |
| URL: | https://sebkrantz.github.io/collapse/, https://github.com/SebKrantz/collapse, https://twitter.com/collapse_R |
| NeedsCompilation: | yes |
| SystemRequirements: | C++11 |
| Materials: | NEWS |
| In views: | Econometrics, OfficialStatistics, TimeSeries |
| CRAN checks: | collapse results |
| Reference manual: | collapse.pdf |
| Vignettes: |
collapse and dplyr: Fast (Weighted) Aggregations and Transformations in a Piped Workflow collapse and plm: Fast Transformation and Exploration of Panel Data Introduction to collapse: Advanced and Fast Data Transformation in R |
| Package source: | collapse_1.3.2.tar.gz |
| Windows binaries: | r-devel: collapse_1.3.2.zip, r-release: collapse_1.3.2.zip, r-oldrel: collapse_1.3.2.zip |
| macOS binaries: | r-release: collapse_1.3.2.tgz, r-oldrel: collapse_1.3.2.tgz |
| Old sources: | collapse archive |
Please use the canonical form https://CRAN.R-project.org/package=collapse to link to this page.