mintyr is an R package that provides fresh and efficient solutions for data processing, with a particular emphasis on animal breeding data. The package name reflects its core philosophy - delivering clean, fresh, and straightforward approaches to data manipulation. The package originated from the challenges encountered in handling multi-breed and multi-trait data in genomic selection, where nested data structures (via dplyr::group_nest()) proved to be remarkably effective for model iteration, especially when combined with dplyr::mutate and purrr::map() operations. While the tidyverse ecosystem offers powerful tools, to enhance performance while maintaining code clarity, mintyr has been implemented primarily using data.table and base R functions. Although initially designed for processing genomic selection phenotype data, mintyr has evolved to include a comprehensive collection of utility functions that streamline common data processing tasks.
Special thanks to AI assistance, particularly ChatGPT and Claude, for helping transform the initial concepts and inspirations for the mintyr package into reality. Their contribution has been invaluable in refining ideas, improving code structure, and crafting documentation.
You can install the development version from GitHub with:
# install.packages("pak")
pak::pak("tony2015116/mintyr")