dataPreparation: Automated Data Preparation

Do most of the painful data preparation for a data science project with a minimum amount of code; Take advantages of data.table efficiency and use some algorithmic trick in order to perform data preparation in a time and RAM efficient way.

Version: 0.2
Depends: R (≥ 3.3.0), lubridate, stringr, Matrix
Imports: data.table
Suggests: knitr, rmarkdown, kableExtra, pander, testthat
Published: 2017-08-18
Author: Emmanuel-Lin Toulemonde [aut, cre]
Maintainer: Emmanuel-Lin Toulemonde <el.toulemonde at>
License: GPL-3 | file LICENSE
NeedsCompilation: no
Materials: NEWS
CRAN checks: dataPreparation results


Reference manual: dataPreparation.pdf
Vignettes: Tutorial
Package source: dataPreparation_0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: dataPreparation_0.2.tgz
OS X Mavericks binaries: r-oldrel: dataPreparation_0.2.tgz
Old sources: dataPreparation archive


Please use the canonical form to link to this page.