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.

Travis-CI Build Status Coverage Status Coverage Status


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.0.2 by Brandon Taylor, 5 years ago

Report a bug at

Browse source code at

Authors: Brandon Taylor

Documentation:   PDF Manual  

CC0 license

Imports dplyr, lazyeval, R6, magrittr, tibble

Suggests knitr, covr, rmarkdown, testthat

See at CRAN