The analysis of genomic data can be an intimidating process,
particularly for researchers who are not experienced programmers.
Commonly used analyses are spread out across programs, each of which
require their own input formats, and data must often be wrangled and
re-wrangled into new formats to split the data according to categorical
metadata variables, such as population or family. Here, we introduce
snpR, and R package that allows for user-friendly processing of SNP
genomic data by automating data sub-setting and processing across
categorical metadata, integrating approaches contained in many different
packages under a single ecosystem, and allowing for iterative, efficient
analysis focused on a single R object across an entire analysis
pipeline.