DataCombine: R tools for making it easier to combine and clean data sets

R tools for combining and cleaning data sets, including filling in missing observations with data from another data frame and creating lag/lead variables.

Version: 0.2.7
Depends: R (≥ 3.0.2)
Imports: data.table, dplyr
Published: 2014-11-19
Author: Christopher Gandrud
Maintainer: Christopher Gandrud <christopher.gandrud at gmail.com>
BugReports: https://github.com/christophergandrud/DataCombine/issues
License: GPL (≥ 3)
URL: http://christophergandrud.github.io/DataCombine/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: DataCombine results

Downloads:

Reference manual: DataCombine.pdf
Package source: DataCombine_0.2.7.tar.gz
Windows binaries: r-devel: DataCombine_0.2.7.zip, r-release: DataCombine_0.2.7.zip, r-oldrel: DataCombine_0.2.2.zip
OS X Snow Leopard binaries: r-release: DataCombine_0.2.7.tgz, r-oldrel: DataCombine_0.2.2.tgz
OS X Mavericks binaries: r-release: DataCombine_0.2.7.tgz
Old sources: DataCombine archive

Reverse dependencies:

Reverse imports: psData, simPH
Reverse suggests: dynsim