Basic pattern analysis, as implemented in the R package bpa, is a data pre-processing tool and is designed to help reduce the time spent doing various pre-processing tasks. It takes inspiration from some of the functionality of SAS/DataFlux Data Management Studio. More specifically, the functions in bpa help standardize the data so that multiple formatting issues, typos, and other unexpected outcomes can more easily be identified in unfamiliar and/or large amounts of data. For more information and example usage, see the introductory vignette included with the package.
The current stable release of the bpa package is available from CRAN and can be installed using install.packages:
# Install current stable release from CRAN
install.packages("bpa")The development version is hosted on GitHub at https://github.com/bgreenwell/bpa and can be installed using install_github from the devtools package:
# Assuming devtools is already installed
devtools::install_github("bgreenwell/bpa")Bug reports should be submitted to https://github.com/bgreenwell/bpa/issues.