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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.
Getting started
Browse package contents
Package details |
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| Author | Brandon Taylor |
| Maintainer | Brandon Taylor <brandon.taylor221@gmail.com> |
| License | CC0 |
| Version | 0.0.2 |
| URL | https://github.com/bramtayl/datastepr |
| Package repository | View on CRAN |
| Installation |
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