https://github.com/cran/robCompositions
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Tip revision: e168b07923b144993e99ea7b65180aed9fe3efa8 authored by Matthias Templ on 11 December 2009, 00:00:00 UTC
version 1.3.3
Tip revision: e168b07
print.pcaCoDa.R
print.pcaCoDa <- function(x, ...){
	## percentage of explained variability for clr transformed data
	eV <- x$eigenvalues / sum(x$eigenvalues)
	eVcum <- cumsum(x$eigenvalues) / sum(x$eigenvalues)
	cat("\n-------------------")
	cat("\n Percentages of explained variability for compositional data after clr transformation \n")
	print(eVcum)
	cat("\n-------------------\n\n")	
}
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