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
datastepr_0.0.2.zip(r-4.5)datastepr_0.0.2.zip(r-4.4)datastepr_0.0.2.zip(r-4.3)
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)
datastepr_0.0.2.tgz(r-4.4-emscripten)datastepr_0.0.2.tgz(r-4.3-emscripten)
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'))

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

On CRAN:

2.70 score 8 scripts 496 downloads 3 exports 17 dependencies

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

Target	Result	Date
Doc / Vignettes	OK	Nov 13 2024
R-4.5-win	NOTE	Nov 13 2024
R-4.5-linux	NOTE	Nov 13 2024
R-4.4-win	OK	Nov 13 2024
R-4.4-mac	OK	Nov 13 2024
R-4.3-win	OK	Nov 13 2024
R-4.3-mac	OK	Nov 13 2024