fxtract: Feature Extraction from Grouped Data

An R6 implementation for calculating features from grouped data. The output will be one row for each group. This functionality is often needed in the feature extraction process of machine learning problems. Very large datasets are supported, since data is only read into RAM when needed. Calculation can be done in parallel and the process can be monitored. Global error handling is supported. Results are available in one final dataframe.

Version: 0.9.2
Depends: R (≥ 3.4.0)
Imports: dplyr, magrittr, checkmate, data.table, future.apply, R6, fs
Suggests: testthat, knitr, covr, utils, future, pkgdown
Published: 2019-07-03
Author: Quay Au [aut, cre], Clemens Stachl [ctb], Ramona Schoedel [ctb], Theresa Ullmann [ctb], Andreas Hofheinz [ctb]
Maintainer: Quay Au <quayau at gmail.com>
BugReports: https://github.com/QuayAu/fxtract/issues
License: MIT + file LICENSE
URL: https://github.com/QuayAu/fxtract
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: fxtract results

Downloads:

Reference manual: fxtract.pdf
Vignettes: fxtract
Package source: fxtract_0.9.2.tar.gz
Windows binaries: r-devel: fxtract_0.9.2.zip, r-release: fxtract_0.9.2.zip, r-oldrel: fxtract_0.9.2.zip
OS X binaries: r-release: fxtract_0.9.2.tgz, r-oldrel: fxtract_0.9.2.tgz
Old sources: fxtract archive

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