Tools for Splitting, Applying and Combining Data

A set of tools that solves a common set of problems: you need to break a big problem down into manageable pieces, operate on each piece and then put all the pieces back together. For example, you might want to fit a model to each spatial location or time point in your study, summarise data by panels or collapse high-dimensional arrays to simpler summary statistics. The development of 'plyr' has been generously supported by 'Becton Dickinson'.

Tests Vignettes

Available Snapshots

This version of plyr can be found in the following snapshots:


Imports/Depends/LinkingTo/Enhances (3)
  • R
  • Rcpp >= 0.11.0
  • Rcpp
  • Suggests (7)
  • abind
  • covr
  • doParallel
  • foreach
  • iterators
  • itertools
  • testthat
  • Version History