datastepr (0.0.2)

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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.

Maintainer: Brandon Taylor
Author(s): Brandon Taylor

License: CC0

Uses: dplyr, lazyeval, magrittr, R6, tibble, testthat, knitr, rmarkdown, covr

Released almost 3 years ago.

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