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.


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install.packages("datastepr")

0.0.2 by Brandon Taylor, a year ago


https://github.com/bramtayl/datastepr


Report a bug at https://github.com/bramtayl/datastepr/issues


Browse source code at https://github.com/cran/datastepr


Authors: Brandon Taylor


Documentation:   PDF Manual  


CC0 license


Imports dplyr, lazyeval, R6, magrittr, tibble

Suggests knitr, covr, rmarkdown, testthat


See at CRAN