rg.wtdsums: Calculate Weighted Sums for a Matrix

In StatDA: Statistical Analysis for Environmental Data

Calculate Weighted Sums for a Matrix

Description

This function computes a weighted sum for a matrix based on computed quantiles and user defined relative importance.

Usage

rg.wtdsums(x, ri, xcentr = NULL, xdisp = NULL)

Arguments

x	matrix
ri	vector for the relative importance, length(ri)=length(x[1,])
xcentr	the provided center
xdisp	the provided variance

Details

It is not necessary to provide the center and the variance. If those values are not supplied the center is the 50% quantile and the variance is calculated from the 25% and 75% quantile.

Value

input	input parameter
centr	the center
disp	the variance
ri	relative importance
w	weights
a	normalized weights
ws	normalized weights times standardized x

Author(s)

Peter Filzmoser <[e-mail]> http://cstat.tuwien.ac.at/filz/

References

C. Reimann, P. Filzmoser, R.G. Garrett, and R. Dutter: Statistical Data Analysis Explained. Applied Environmental Statistics with R. John Wiley and Sons, Chichester, 2008.

Examples

data(chorizon)
var=c("Si_XRF","Al_XRF","K_XRF","LOI","P","Mn")
ri=c(-2.0,1.5,2.0,2.0,3.0,2.0)
x=chorizon[,var]
rg.wtdsums(x,ri)

StatDA documentation built on June 7, 2023, 6:26 p.m.