R arm of morie.fn.hetlc and mmaxn. Hetlc: per-marker
observed heterozygosity, expected heterozygosity 2p(1 - p) and per-
individual heterozygous-locus frequency for 0/1/2 genotypes (NA skipped).
Mmaxn: min-max normalisation onto the unit interval, column-wise for
matrices.
Usage
Hetlc(marker_matrix)
Mmaxn(x)
Arguments
- marker_matrix
Genotypes coded 0, 1, 2 (individuals by markers).
- x
Vector or matrix.
Value
A named list (the Python result's fields).
References
Nei, M. (1973). Analysis of gene diversity in subdivided populations. PNAS 70, 3321-3323.
Montesinos Lopez, O. A., Montesinos Lopez, A. and Crossa, J. (2022). Multivariate Statistical Machine Learning Methods for Genomic Prediction. Springer.
Examples
Hetlc(rbind(c(0, 1, 2), c(1, 1, 2), c(2, 0, 1)))$H_exp
#> [1] 0.5000000 0.4444444 0.2777778
Mmaxn(c(2, 4, 3, 10))$x_norm
#> [1] 0.000 0.250 0.125 1.000
