HHC: Calculates heterzygosity-heterozygosity correlations with...

In inbreedR: Analysing Inbreeding Based on Genetic Markers

Description

Loci are randomly devided into two equal groups and the correlation coefficient between the resulting sMLH values is calculated.

Usage

HHC(genotypes, reps = 100, CI = 0.95)

Arguments

genotypes	data.frame with individuals in rows and loci in columns, containing genotypes coded as 0 (homozygote), 1 (heterozygote) and NA (missing)
reps	number of repetitions, i.e. splittings of the dataset
CI	size of the confidence interval around the mean het-het correlation (default is 0.95)

Value

call	function call.
HHC_vals	vector of HHC's obtained by randomly splitting the dataset
summary_exp_r2	r2 mean and sd for each number of subsetted loci
nobs	number of observations
nloc	number of markers

Author(s)

Martin A. Stoffel ([e-mail])

References

Balloux, F., Amos, W., & Coulson, T. (2004). Does heterozygosity estimate inbreeding in real populations?. Molecular Ecology, 13(10), 3021-3031.

Examples

data(mouse_msats)
genotypes <- convert_raw(mouse_msats)
(out <- HHC(genotypes, reps = 100, CI = 0.95))

inbreedR documentation built on Feb. 2, 2022, 5:09 p.m.