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.


Reference manual

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0.0.2 by Brandon Taylor, a year ago

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Authors: Brandon Taylor

Documentation:   PDF Manual  

CC0 license

Imports dplyr, lazyeval, R6, magrittr, tibble

Suggests knitr, covr, rmarkdown, testthat

See at CRAN