datastepr: 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.

AuthorBrandon Taylor
Date of publication2016-08-20 10:31:35
MaintainerBrandon Taylor <brandon.taylor221@gmail.com>
LicenseCC0
Version0.0.2
https://github.com/bramtayl/datastepr

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Files in this package

datastepr
datastepr/inst
datastepr/inst/doc
datastepr/inst/doc/datastepping.html
datastepr/inst/doc/datastepping.Rmd
datastepr/inst/doc/datastepping.R
datastepr/tests
datastepr/tests/testthat.R
datastepr/tests/testthat
datastepr/tests/testthat/test.R
datastepr/NAMESPACE
datastepr/R
datastepr/R/datastepr.R
datastepr/vignettes
datastepr/vignettes/datastepping.Rmd
datastepr/README.md
datastepr/MD5
datastepr/build
datastepr/build/vignette.rds
datastepr/DESCRIPTION
datastepr/man
datastepr/man/toEnv.Rd datastepr/man/dataStepClass.Rd datastepr/man/toDf.Rd

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