plot.perf: Plot for model performance

Description

Function to plot performance criteria, such as MSEP, RMSEP, $R^2$ or $Q^2$, as a function of the number of components.

Usage

## S3 method for class 'perf':
plot(x, criterion = c("MSEP", "RMSEP", "R2", "Q2"),
     pred.method = "all",
     xlab = "number of components", ylab = NULL,
     LimQ2 = 0.0975, LimQ2.col = "darkgrey",
     cTicks = NULL, layout = NULL, ...)

Arguments

an perf object.

criterion

character string. What type of validation criterion to plot for pls or spls. One of "MSEP", "RMSEP", "R2" or "Q2". See perf.

pred.method

prediction method applied in perf for plsda or splsda. See perf.

xlab, ylab

titles for $x$ and $y$ axes. Typically character strings, but can be expressions (e.g., expression(R^2)).

LimQ2

numeric value. Signification limit for the components in the model. Default is LimQ2 = 0.0975.

LimQ2.col

character string specifying the color for the LimQ2 line to be plotted. If "none" the line will not be plotted.

cTicks

integer vector. Axis tickmark locations for the used number of components. Default is 1:ncomp (see perf).

layout

numeric vector of length two giving the number of rows and columns in a multi panel display. If not specified, plot.perf tries to be intelligent.

...

Further arguments sent to xyplot function.

encoding

latin1

Details

plot.perf creates one plot for each response variable in the model, laid out in a multi panel display. It uses xyplot for performing the actual plotting.

Examples

Run this code

require(lattice)

## validation for objects of class 'pls' or 'spls'
data(liver.toxicity)
X <- liver.toxicity$gene
Y <- liver.toxicity$clinic

liver.pls <- pls(X, Y, ncomp = 3)
liver.perf <- perf(liver.pls, validation = "Mfold")
				   
plot(liver.perf, criterion = "R2", type = "l", layout = c(2, 2))

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