datastepr: An Implementation of a SAS-Style Data Step (original) (raw)
Based on a SAS data step. This allows for row-wise dynamic building of data, iteratively importing slices of existing dataframes, conducting analyses, and exporting to a results frame. This is particularly useful for differential or time-series analyses, which are often not well suited to vector- based operations.
Version: | 0.0.2 |
---|---|
Depends: | R (≥ 3.1.3) |
Imports: | dplyr (≥ 0.5.0), lazyeval (≥ 0.1.10), R6 (≥ 2.0.1), magrittr (≥ 1.5), tibble (≥ 1.1) |
Suggests: | knitr, covr, rmarkdown, testthat |
Published: | 2016-08-20 |
DOI: | 10.32614/CRAN.package.datastepr |
Author: | Brandon Taylor |
Maintainer: | Brandon Taylor <brandon.taylor221 at gmail.com> |
BugReports: | https://github.com/bramtayl/datastepr/issues |
License: | CC0 |
URL: | https://github.com/bramtayl/datastepr |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | datastepr results [issues need fixing before 2025-06-09] |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=datasteprto link to this page.