collapse (1.1.0)

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Advanced and Fast Data Transformation.

http://cran.r-project.org/web/packages/collapse

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.

Maintainer: Sebastian Krantz
Author(s): 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]

License: GPL (>= 2)

Uses: lfe, Rcpp, ggplot2, plm, vars, data.table, testthat, microbenchmark, scales, knitr, dplyr, rmarkdown

Released 5 days ago.


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