allelematch (version 3.0.0)

amPreCheck: Pre-Screen an amDataset Object for Severe Missing Data Loads

Description

Analyzes missing data footprints and pairwise locus overlaps within an amDataset object to anticipate mathematical failures during subsequent clustering.

Usage

amPreCheck(amDatasetFocal)

Value

Prints a quality control metric dashboard to the console. Also returns an invisible list containing summary percentages.

Arguments

amDatasetFocal

An object of class amDataset.

Author

Todd Cross

Examples

  if (FALSE) {
    data(amExample1)
    techreps <- amDataset(amExample1, missingCode = "-99")
    amPreCheck(techreps)
  }