rg.wtdsums: Calculate Weighted Sums for a Matrix

Description Usage Arguments Details Value Author(s) References Examples

Description

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

Usage

1
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 <P.Filzmoser@tuwien.ac.at> 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

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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 March 13, 2020, 2:42 a.m.

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