View source: R/individual_distance.R
find.missing.gen | R Documentation |
This function returns a data frame listing the locus and sample names of all genotypes with missing data.
find.missing.gen(object, samples = Samples(object), loci = Loci(object))
object |
A |
samples |
A character vector of all samples to be searched. Must be a subset of
|
loci |
A character vector of all loci to be searched. Must be a subset of
|
A data frame with no row names. The first column is named “Locus” and the second column is named “Sample”. Each row represents one missing genotype, and gives the locus and sample of that genotype.
Lindsay V. Clark
isMissing
# set up the genotype data samples <- paste("ind", 1:4, sep="") samples loci <- paste("loc", 1:3, sep="") loci testgen <- new("genambig", samples = samples, loci = loci) Genotypes(testgen, loci="loc1") <- list(c(-9), c(102,104), c(100,106,108,110,114), c(102,104,106,110,112)) Genotypes(testgen, loci="loc2") <- list(c(77,79,83), c(79,85), c(-9), c(83,85,87,91)) Genotypes(testgen, loci="loc3") <- list(c(122,128), c(124,126,128,132), c(120,126), c(124,128,130)) # look up which samples*loci have missing genotypes find.missing.gen(testgen)
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