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")