datastepr: An Implementation of a SAS-Style Data Step
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: |
0.0.1 |
| Depends: |
R (≥ 3.1.3) |
| Imports: |
dplyr (≥ 0.4.1), lazyeval (≥ 0.1.10), R6 (≥ 2.0.1), magrittr (≥ 1.5), rlist (≥ 0.4) |
| Suggests: |
knitr |
| Published: |
2015-06-07 |
| Author: |
Brandon Taylor |
| Maintainer: |
Brandon Taylor <brandon.taylor221 at gmail.com> |
| License: |
CC0 |
| NeedsCompilation: |
no |
| CRAN checks: |
datastepr results |
Downloads: