The madshapR package provides functions for efficient data cleaning, evaluation, and documentation across different datasets. It was developed to support work at Maelstrom Research and includes functions to evaluate and summarize datasets and their associated data dictionaries, identify potential issues in content and structure, and prepare datasets and metadata for further processing. The key outputs provided by the functions are formatted datasets, standardized metadata, and tabular and visual summary reports.
Get started
Install the package
# To install madshapR:
install.packages('madshapR')
library(madshapR)
# If you need help with the package, please use:
madshapR_website()
# Demo files are available here, along with an online demonstration process
madshapR_DEMO