CRAN/E | datastepr

datastepr

An Implementation of a SAS-Style Data Step

Installation

About

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.

github.com/bramtayl/datastepr
Bug report File report

Key Metrics

Version 0.0.2
R ≥ 3.1.3
Published 2016-08-20 2813 days ago
Needs compilation? no
License CC0
CRAN checks datastepr results

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Maintainer

Maintainer

Brandon Taylor

brandon.taylor221@gmail.com

Authors

Brandon Taylor

Material

README
Reference manual
Package source

Vignettes

Data Stepping

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

datastepr archive

Depends

R ≥ 3.1.3

Imports

dplyr ≥ 0.5.0
lazyeval ≥ 0.1.10
R6 ≥ 2.0.1
magrittr ≥ 1.5
tibble ≥ 1.1

Suggests

knitr
covr
rmarkdown
testthat