plotpredprm: Plot predictions from repeated DCV of PRM

Description Usage Arguments Details Value Author(s) References See Also Examples

Description

Generate plot showing predicted values for Repeated Double Cross Validation of Partial Robust M-regression

Usage

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plotpredprm(prmdcvobj, optcomp, y, X, ...)

Arguments

prmdcvobj

object from repeated double-CV of PRM, see prm_dcv

optcomp

optimal number of components

y

data from response variable

X

data with explanatory variables

...

additional plot arguments

Details

After running repeated double-CV for PRM, this plot visualizes the predicted values. The result is compared with predicted values obtained via usual CV of PRM.

Value

A plot is generated.

Author(s)

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

References

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

See Also

prm

Examples

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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)
plot3 <- plotpredprm(res,opt=res$afinal,y,X)


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