Component plot for repeated DCV
Generate plot showing optimal number of components for Repeated Double Cross-Validation
plotcompmvr(mvrdcvobj, ...)
mvrdcvobj |
object from repeated double-CV, see |
... |
additional plot arguments |
After running repeated double-CV, this plot helps to decide on the final number of components.
optcomp |
optimal number of components |
compdistrib |
frequencies for the optimal number of components |
Peter Filzmoser <P.Filzmoser@tuwien.ac.at>
K. Varmuza and P. Filzmoser: Introduction to Multivariate Statistical Analysis in Chemometrics. CRC Press, Boca Raton, FL, 2009.
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 <- mvr_dcv(y~.,data=NIR.Glc,ncomp=10,method="simpls",repl=10) plot2 <- plotcompmvr(res)
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