Compute the centred log-ratio transformation

Description

HWClr computes the centred log-ratio transformation for genotype counts of bi-allelic genetic markers.

Usage

HWClr(X, zeroadj = 0.5)

Arguments

Value

A matrix or vector of log-ratio coordinates

Author(s)

Jan Graffelman (jan.graffelman@upc.edu)

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

HWAlr,HWIlr

Examples

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

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(HardyWeinberg)
Loading required package: mice
Loading required package: Rcpp
mice 2.25 2015-11-09
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/HardyWeinberg/HWClr.Rd_%03d_medium.png", width=480, height=480)
> ### Name: HWClr
> ### Title: Compute the centred log-ratio transformation
> ### Aliases: HWClr
> ### Keywords: misc
> 
> ### ** Examples
> 
>    X <- HWData(100,100)
>    Y <- HWClr(X)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>