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collapse  

Advanced and Fast Data Transformation
View on CRAN: Click here


Download and install collapse package within the R console
Install from CRAN:
install.packages("collapse")

Install from Github:
library("remotes")
install_github("cran/collapse")

Install by package version:
library("remotes")
install_version("collapse", "2.1.1")



Attach the package and use:
library("collapse")
Maintained by
Sebastian Krantz
[Scholar Profile | Author Map]
First Published: 2020-03-19
Latest Update: 2024-02-17
Description:
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', 'plm' (panel-series and data frames), and 'xts'/'zoo'.
How to cite:
Sebastian Krantz (2020). collapse: Advanced and Fast Data Transformation. R package version 2.1.1, https://cran.r-project.org/web/packages/collapse. Accessed 01 May. 2025.
Previous versions and publish date:
1.0.0 (2020-03-19 14:50), 1.1.0 (2020-04-01 14:20), 1.2.0 (2020-05-19 13:50), 1.2.1 (2020-05-27 00:10), 1.3.0 (2020-08-11 17:40), 1.3.1 (2020-08-27 19:40), 1.3.2 (2020-09-13 06:50), 1.4.0 (2020-11-01 22:40), 1.4.1 (2020-11-09 23:30), 1.4.2 (2020-11-10 16:10), 1.5.0 (2021-01-04 18:00), 1.5.1 (2021-01-12 16:10), 1.5.2 (2021-03-02 07:20), 1.5.3 (2021-03-07 18:30), 1.6.0 (2021-06-28 07:00), 1.6.2 (2021-07-04 23:00), 1.6.4 (2021-07-13 14:10), 1.6.5 (2021-07-24 12:00), 1.7.0 (2022-01-14 13:02), 1.7.2 (2022-01-23 01:32), 1.7.3 (2022-01-26 16:42), 1.7.5 (2022-02-03 09:00), 1.7.6 (2022-02-11 13:30), 1.8.4 (2022-06-08 17:10), 1.8.5 (2022-06-13 12:10), 1.8.6 (2022-06-14 09:10), 1.8.8 (2022-08-15 10:50), 1.8.9 (2022-10-07 16:00), 1.9.0 (2023-01-15 16:30), 1.9.2 (2023-01-25 11:10), 1.9.3 (2023-02-27 10:22), 1.9.4 (2023-03-31 19:40), 1.9.5 (2023-04-07 20:10), 1.9.6 (2023-05-28 11:30), 2.0.2 (2023-10-14 11:00), 2.0.3 (2023-10-18 00:40), 2.0.6 (2023-11-12 21:03), 2.0.7 (2023-12-07 13:30), 2.0.9 (2024-01-11 13:30), 2.0.10 (2024-02-17 18:00), 2.0.11 (2024-03-21 05:10), 2.0.12 (2024-04-01 10:20), 2.0.13 (2024-04-14 01:00), 2.0.14 (2024-05-25 00:20), 2.0.15 (2024-07-08 14:50), 2.0.16 (2024-08-21 12:40), 2.0.17 (2024-11-03 06:40), 2.0.18 (2024-11-23 16:30), 2.0.19 (2025-01-09 17:30), 2.1.0 (2025-03-10 12:40)
Other packages that cited collapse R package
View collapse citation profile
Other R packages that collapse depends, imports, suggests or enhances
Complete documentation for collapse
Functions, R codes and Examples using the collapse R package
Some associated functions: BY . GGDC10S . GRP . TRA . across . arithmetic . collap . collapse-documentation . collapse-options . collapse-package . collapse-renamed . colorder . dapply . data-transformations . descr . efficient-programming . extract_list . fFtest . fast-data-manipulation . fast-grouping-ordering . fast-statistical-functions . fbetween_fwithin . fcount . fcumsum . fdiff . fdist . fdroplevels . ffirst_flast . fgrowth . fhdbetween_fhdwithin . flag . flm . fmatch . fmean . fmin_fmax . fmode . fndistinct . fnobs . fnth_fmedian . fprod . fquantile . frename . fscale . fsubset . fsum . fsummarise . ftransform . funique . fvar_fsd . group . groupid . indexing . is_unlistable . join . ldepth . list-processing . pad . pivot . psacf . psmat . pwcor_pwcov_pwnobs . qF . qsu . qtab . quick-conversion . radixorder . rapply2d . recode-replace . rowbind . roworder . rsplit . select_replace_vars . seqid . small-helpers . summary-statistics . t_list . time-series-panel-series . timeid . unlist2d . varying . wlddev . 
Some associated R codes: BY.R . GRP.R . RcppExports.R . TRA.R . collap.R . dapply.R . descr.R . fFtest.R . fbetween_fwithin.R . fcount.R . fcumsum.R . fdiff_fgrowth.R . ffirst.R . fhdbetween_fhdwithin.R . flag.R . flast.R . flm.R . fmean.R . fmin_fmax.R . fmode.R . fndistinct.R . fnobs.R . fnth_fmedian.R . fprod.R . fscale.R . fsubset_ftransform_fmutate.R . fsum.R . fsummarise.R . fvar_fsd.R . global_macros.R . indexing.R . join.R . list_functions.R . my_RcppExports.R . pivot.R . psacf.R . psmat.R . pwcor_pwcov_pwnobs.R . qsu.R . qtab.R . quick_conversion.R . recode_replace.R . roworder_colorder_rename.R . rsplit.R . select_replace_add_vars.R . small_helper.R . unlist2d.R . varying.R . zzz.R .  Full collapse package functions and examples
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