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Loci are randomly devided into two equal groups and the correlation coefficient between the resulting sMLH values is calculated.
HHC(genotypes, reps = 100, CI = 0.95)
data.frame with individuals in rows and loci in columns, containing genotypes coded as 0 (homozygote), 1 (heterozygote) and NA (missing)
data.frame
NA
number of repetitions, i.e. splittings of the dataset
size of the confidence interval around the mean het-het correlation (default is 0.95)
function call.
vector of HHC's obtained by randomly splitting the dataset
r2 mean and sd for each number of subsetted loci
number of observations
number of markers
Balloux, F., Amos, W., & Coulson, T. (2004). Does heterozygosity estimate inbreeding in real populations?. Molecular Ecology, 13(10), 3021-3031.
# NOT RUN { data(mouse_msats) genotypes <- convert_raw(mouse_msats) (out <- HHC(genotypes, reps = 100, CI = 0.95)) # }
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