plotSEPmvr: Plot SEP from repeated DCV

In chemometrics: Multivariate Statistical Analysis in Chemometrics

Plot SEP from repeated DCV

Description

Generate plot showing SEP values for Repeated Double Cross Validation

Usage

plotSEPmvr(mvrdcvobj, optcomp, y, X, method = "simpls", complete = TRUE, ...)

Arguments

mvrdcvobj	object from repeated double-CV, see mvr_dcv
optcomp	optimal number of components
y	data from response variable
X	data with explanatory variables
method	the multivariate regression method to be used, see mvr
complete	if TRUE the SEPcv values are drawn and computed for the same range of components as included in the mvrdcvobj object; if FALSE only optcomp components are computed and their results are displayed
...	additional plot arguments

Details

After running repeated double-CV, this plot visualizes the distribution of the SEP values.

Value

SEPdcv	all SEP values from repeated double-CV
SEPcv	SEP values from classical CV

Author(s)

Peter Filzmoser <[e-mail]>

References

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

See Also

mvr

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 <- mvr_dcv(y~.,data=NIR.Glc,ncomp=10,method="simpls",repl=10)
plot1 <- plotSEPmvr(res,opt=7,y,X,method="simpls")

chemometrics documentation built on Aug. 25, 2023, 5:18 p.m.