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Advanced and Fast Data Transformation
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', 'units', 'plm' (panel-series and data frames), and 'xts'/'zoo'.
- Version2.0.17
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- LicenseLICENSE
- Needs compilation?Yes
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- Last release11/03/2024
Documentation
Team
Sebastian Krantz
Dirk Eddelbuettel
Laurent Berge
Show author detailsRolesContributorMartyn Plummer
Show author detailsRolesCopyright holderMorgan Jacob
Show author detailsRolesContributorKevin Tappe
Show author detailsRolesContributorMatt Dowle
Show author detailsRolesContributorArun Srinivasan
Show author detailsRolesContributorR Core Team and contributors worldwide
Show author detailsRolesContributor1999-2016 The R Core Team
Show author detailsRolesCopyright holder
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- Imports1 package
- Suggests21 packages
- Linking To1 package
- Reverse Imports26 packages
- Reverse Suggests8 packages