StatDA (version 1.7.4)

rg.wtdsums: 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

Value

input

input parameter

centr

the center

disp

the variance

ri

relative importance

w

weights

a

normalized weights

ws

normalized weights times standardized x

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.

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

# NOT RUN {
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)
# }

Run the code above in your browser using DataCamp Workspace