chemometrics (version 1.4.4)

plotcompprm: Component plot for repeated DCV of PRM

Description

Generate plot showing optimal number of components for Repeated Double Cross-Validation of Partial Robust M-regression

Usage

plotcompprm(prmdcvobj, ...)

Value

optcomp

optimal number of components

compdistrib

frequencies for the optimal number of components

Arguments

prmdcvobj

object from repeated double-CV of PRM, see prm_dcv

...

additional plot arguments

Author

Peter Filzmoser <[e-mail]>

Details

After running repeated double-CV for PRM, this plot helps to decide on the final number of components.

References

K. Varmuza and P. Filzmoser: Introduction to Multivariate Statistical Analysis in Chemometrics. CRC Press, Boca Raton, FL, 2009.

See Also

prm

Examples

data(NIR)
X <- NIR$xNIR[1:30,]      # first 30 observations - for illustration
y <- NIR$yGlcEtOH[1:30,1] # only variable Glucose
NIR.Glc <- data.frame(X=X, y=y)
res <- prm_dcv(X,y,a=4,repl=2)
plot2 <- plotcompprm(res)