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.