recipes: Preprocessing Tools to Create Design Matrices

An extensible framework to create and preprocess design matrices. Recipes consist of one or more data manipulation and analysis "steps". Statistical parameters for the steps can be estimated from an initial data set and then applied to other data sets. The resulting design matrices can then be used as inputs into statistical or machine learning models.

Version: 0.1.0
Depends: R (≥ 3.2.3), dplyr
Imports: tibble, stats, ipred, dimRed (≥ 0.1.0), lubridate, timeDate, ddalpha, purrr, rlang (≥ 0.1.1), gower, RcppRoll, tidyselect (≥ 0.1.1), magrittr
Suggests: testthat, rpart, kernlab, fastICA, RANN, igraph, knitr, caret, ggplot2, rmarkdown
Published: 2017-07-27
Author: Max Kuhn [aut, cre], Hadley Wickham [aut], RStudio [cph]
Maintainer: Max Kuhn <max at>
License: GPL-2
NeedsCompilation: no
Materials: NEWS
CRAN checks: recipes results


Reference manual: recipes.pdf
Vignettes: Custom Steps
Ordering of Steps
Selecting Variables
Basic Recipes
Package source: recipes_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: recipes_0.1.0.tgz
OS X Mavericks binaries: r-oldrel: recipes_0.1.0.tgz


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