An R package for processing and manipulating raw phenotype data typically generated in the University of Minnesota Barley Breeding Group. Functions allow for a reproducible pipeline for different end goals, including genomic prediction, spatial adjustment, or database upload (i.e. T3).
Jeff Neyhart
In our breeding program, we generate raw phenotype data that requires multiple processing steps. Like in many data stewardship pipelines, we visualize our raw data, check for outliers, process and compile it, correct for spatial variability, then store it long-term on home drives or in a database. This package provides functions and a pipeline for accurately and rapidly processing raw data for many different end uses.
Install the developmental version from GitHub via the devtools package:
devtools::install_github("neyhartj/barleypheno")