dplyr: dplyr: a grammar of data manipulation

A fast, consistent tool for working with data frame like objects, both in memory and out of memory.

Version: 0.2
Depends: R (≥ 3.0.2)
Imports: assertthat, utils, methods, Rcpp, magrittr, Lahman, hflights
LinkingTo: Rcpp (≥ 0.11.1), BH (≥ 1.51.0-2)
Suggests: RSQLite, RSQLite.extfuns, RMySQL, MonetDB.R, RPostgreSQL, data.table, bigrquery, testthat, knitr, microbenchmark, ggplot2, mgcv
Published: 2014-05-21
Author: Hadley Wickham, Romain Francois
Maintainer: Hadley Wickham <h.wickham at gmail.com>
License: MIT + file LICENSE
URL: https://github.com/hadley/dplyr
NeedsCompilation: yes
Materials: README
CRAN checks: dplyr results

Downloads:

Reference manual: dplyr.pdf
Vignettes: Databases
Hybrid Evaluation
Introduction to dplyr
Memory usage
Adding new database support to dplyr
Window functions
Package source: dplyr_0.2.tar.gz
Windows binaries: r-devel: dplyr_0.2.zip, r-release: dplyr_0.2.zip, r-oldrel: dplyr_0.2.zip
OS X Snow Leopard binaries: r-release: dplyr_0.2.tgz, r-oldrel: dplyr_0.2.tgz
OS X Mavericks binaries: r-release: dplyr_0.2.tgz
Old sources: dplyr archive

Reverse dependencies:

Reverse depends: mosaic, rplexos, turfR
Reverse imports: aemo, COPASutils, DataCombine, ecoengine, freqweights, ggvis, peptider, qdap, rPref, simPH, tidyr
Reverse suggests: fueleconomy, nycflights13, pitchRx, pollstR, rattle