HHC: Calculates heterzygosity-heterozygosity correlations with...
In mastoffel/inbreedR: Analysing Inbreeding Based on Genetic Markers

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

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

`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)

`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

Martin A. Stoffel (martin.adam.stoffel@gmail.com)

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

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

mastoffel/inbreedR documentation built on Feb. 9, 2022, 12:39 p.m.

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