bgreenwell / bpa

Basic pattern analysis in R

bpa: Basic Pattern Analysis in R

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.

Installation

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.

bpa's Issues

Add new function to tests

Switch to rmarkdown for README

So that output can be printed without having to copy and paste.

Add vignette

Convert column types to character in example data frame

Clean up Description before submitting to CRAN

Why not export get_pattern?

Add a messy data set to the package demonstrating the usefulness of bpa

change show_whitespace to show_ws in arguments to bpa

Should trim_ws be added to this package?

This would trim whitespace before performing the pattern analysis.

data %>%
  trim_ws %>%
  basic_pattern_analysis

Change unique_only to unique in all functions?

trimws depends on R (>= 3.2.0)

Either add the dependency to the DESCRIPTION file or code it up manually.

trimws <- gsub("(^\\s+)|(\\s+$)", "", x)