HWAlr: Compute additive log-ratio transformation

In HardyWeinberg: Statistical Tests and Graphics for Hardy-Weinberg Equilibrium

Compute additive log-ratio transformation

Description

HWAlr computes the additive log-ratio transformation for genotype counts of bi-allelic genetic markers.

Usage

HWAlr(X, zeroadj = 0.5, denominator = 2)

Arguments

X	A matrix of genotype counts (columns AA, AB and BB)
zeroadj	A zero adjustment parameter (0.5 by default)
denominator	The genotype count put in the denominator of the log-ratio (1=AA, 2=AB, 3=BB)

Value

A matrix or vector of log-ratio coordinates

Author(s)

Jan Graffelman ([e-mail])

References

Graffelman, J. and Egozcue, J. J. (2011) Hardy-Weinberg equilibrium: a non-parametric compositional approach. In: Vera Pawlowsky-Glahn and Antonella Buccianti (eds.) Compositional Data Analysis: Theory and Applications, John Wiley \& Sons, Ltd, pp. 207-215

See Also

HWClr,HWIlr

Examples

   X <- HWData(100,100)
   Y <- HWAlr(X)

HardyWeinberg documentation built on May 7, 2022, 5:05 p.m.