abind, testthat, tcltk, foreach, doMC, itertools, iterators

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'.
abind, testthat, tcltk, foreach, doParallel, itertools,
iterators

abind, testthat, tcltk, foreach, doParallel, itertools,
iterators, covr

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'.
abind, covr, doParallel, foreach, iterators, itertools,
tcltk, testthat

person("Hadley", "Wickham", , "hadley@rstudio.com", role = c("aut", "cre"))
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'.

abind, testthat (>= 0.2), tcltk, foreach, doMC, itertools,
iterators
'dimensions.r' 'id.r' 'indexed-array.r' 'indexed-data-frame.r'
'indexed.r' 'join.r' 'loop-apply.r' 'progress.r' 'quote.r'
'split-indices.r' 'split.r' 'utils.r' 'utils-functional.r'
'data.r' 'plyr.r' 'parallel.r' 'progress-time.r' 'a_ply.r'
'aaply.r' 'adply.r' 'alply.r' 'd_ply.r' 'daply.r' 'ddply.r'
'dlply.r' 'l_ply.r' 'laply.r' 'llply.r' 'm_ply.r' 'maply.r'
'mdply.r' 'mlply.r' 'r_ply.r' 'raply.r' 'rdply.r' 'rlply.r'
'liply.r' 'ldply.r' 'arrange.r' 'colwise.r' 'count.r'
'data-frame.r' 'defaults.r' 'each.r' 'here.r' 'match-df.r'
'mutate.r' 'name-rows.r' 'quickdf.r' 'rename.r' 'revalue.r'
'round-any.r' 'splat.r' 'strip-splits.r' 'summarise.r' 'take.r'
'try.r' 'vaggregate.r' 'idataframe.r' 'join-all.r'
'list-to-array.r' 'list-to-dataframe.r' 'list-to-vector.r'
'rbind-fill-matrix.r' 'rbind-fill.r' 'splitter-a.r'
'splitter-d.r'