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datastepr  

An Implementation of a SAS-Style Data Step
View on CRAN: Click here


Download and install datastepr package within the R console
Install from CRAN:
install.packages("datastepr")

Install from Github:
library("remotes")
install_github("cran/datastepr")

Install by package version:
library("remotes")
install_version("datastepr", "0.0.2")



Attach the package and use:
library("datastepr")
Maintained by
Brandon Taylor
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-06-07
Latest Update:
Description:
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.
How to cite:
Brandon Taylor (2015). datastepr: An Implementation of a SAS-Style Data Step. R package version 0.0.2, https://cran.r-project.org/web/packages/datastepr. Accessed 28 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:30), 0.0.1 (2015-06-07 00:51), 0.0.2 (2016-08-20 10:31)
Other packages that cited datastepr R package
View datastepr citation profile
Other R packages that datastepr depends, imports, suggests or enhances
Complete documentation for datastepr
Functions, R codes and Examples using the datastepr R package
Some associated functions: dataStepClass . toDf . toEnv . 
Some associated R codes: datastepr.R .  Full datastepr package functions and examples
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