Package: datastepr 0.0.2

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.

Authors:Brandon Taylor

datastepr_0.0.2.tar.gz
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datastepr_0.0.2.tgz(r-4.4-any)datastepr_0.0.2.tgz(r-4.3-any)
datastepr_0.0.2.tar.gz(r-4.5-noble)datastepr_0.0.2.tar.gz(r-4.4-noble)
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datastepr.pdf |datastepr.html
datastepr/json (API)

# Install 'datastepr' in R:
install.packages('datastepr', repos = c('https://bramtayl.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/bramtayl/datastepr/issues

On CRAN:

3 exports 0.00 score 17 dependencies 8 scripts 766 downloads

Last updated 8 years agofrom:aeaeb86a19. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 14 2024
R-4.5-winNOTESep 14 2024
R-4.5-linuxNOTESep 14 2024
R-4.4-winOKSep 14 2024
R-4.4-macOKSep 14 2024
R-4.3-winOKSep 14 2024
R-4.3-macOKSep 14 2024

Exports:dataStepClasstoDftoEnv

Dependencies:clidplyrfansigenericsgluelazyevallifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr

Data Stepping

Rendered fromdatastepping.Rmdusingknitr::rmarkdownon Sep 14 2024.

Last update: 2016-08-20
Started: 2015-06-01