Package: datastepr
Type: Package
Title: An Implementation of a SAS-Style Data Step
Version: 0.0.2
Author: Brandon Taylor
Maintainer: Brandon Taylor <brandon.taylor221@gmail.com>
Description: 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.
Depends: R (>= 3.1.3)
Imports: dplyr (>= 0.5.0), lazyeval (>= 0.1.10), R6 (>= 2.0.1),
        magrittr (>= 1.5), tibble (>= 1.1)
License: CC0
Suggests: knitr, covr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
RoxygenNote: 5.0.1
BugReports: https://github.com/bramtayl/datastepr/issues
URL: https://github.com/bramtayl/datastepr
Packaged: 2016-08-20 05:45:09 UTC; jsnot
Repository: CRAN
Date/Publication: 2016-08-20 10:31:35
Built: R 4.1.0; ; 2021-05-27 09:16:10 UTC; unix
