Advanced and Fast Data Transformation

A C/C++ based package for advanced data transformation and statistical computing in R that is extremely fast, flexible and parsimonious to code with, class-agnostic and programmer friendly. It is well integrated with base R, 'dplyr' / (grouped) 'tibble', 'data.table' and 'plm' (panel-series and data frames), and non- destructively handles other matrix or data frame based classes (such as 'ts', 'xts' / 'zoo', 'timeSeries', 'tsibble', 'sf' data frames etc.) --- 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 row / column arithmetic, (grouped) replacing and sweeping out of statistics, (grouped, weighted) scaling / standardizing, between (averaging) and (quasi-)within (centering / demeaning) transformations, higher-dimensional centering (i.e. multiple fixed effects transformations), linear prediction / partialling-out, linear model fitting and testing. (4) Advanced time-computations: Fast (sequences of) lags / leads, and (lagged / leaded, iterated, quasi-, log-) differences and (compounded) growth rates on (unordered, irregular) 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, splitting, extraction / subsetting, data-apply, and generalized recursive row-binding / unlisting in 2D. (6) Advanced data exploration: Fast (grouped, weighted, panel-decomposed) summary statistics for complex multilevel / panel data.


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install.packages("collapse")

1.5.3 by Sebastian Krantz, a month ago


https://sebkrantz.github.io/collapse/, https://github.com/SebKrantz/collapse, https://twitter.com/collapse_R


Report a bug at https://github.com/SebKrantz/collapse/issues


Browse source code at https://github.com/cran/collapse


Authors: Sebastian Krantz [aut, cre] , Matt Dowle [ctb] , Arun Srinivasan [ctb] , Laurent Berge [ctb] , Dirk Eddelbuettel [ctb] , Josh Pasek [ctb] , Kevin Tappe [ctb] , R Core Team and contributors worldwide [ctb] , Martyn Plummer [cph] , 1999-2016 The R Core Team [cph]


Documentation:   PDF Manual  


Task views: Econometrics, Official Statistics & Survey Methodology, Time Series Analysis


GPL (>= 2) | file LICENSE license


Imports Rcpp

Suggests dplyr, plm, data.table, matrixStats, magrittr, fixest, lfe, vars, weights, kit, RcppArmadillo, RcppEigen, ggplot2, scales, microbenchmark, knitr, rmarkdown

Linking to Rcpp

System requirements: C++11


Imported by fwildclusterboot.

Suggested by plm.


See at CRAN