eNetXplorer (version 1.1.2)

plotContingency: generates plot of response vs out-of-bag predictions across classes

Description

For categorical models, this function generates a graphical representation of the true vs predicted contingency matrix across classes for a given alpha.

Usage

plotContingency(x, alpha.index=NULL, xlab="class (true)", ylab="class (predicted)", 
cex.lab=0.95, main=NULL, col.main="black", cex.main=0.85, cex.axis=1, 
symbol.size.inches=0.5, bg.color="steelblue2", fg.color=NULL, margin=0.2, 
frequency.label=TRUE, frequency.label.cex=1, frequency.label.offset=0, …)

Arguments

x

eNetXplorer object.

alpha.index

Integer indices to select alpha values. Default is 1:length(alpha)

xlab

Custom x-axis label.

ylab

Custom y-axis label.

cex.lab

Axis label size.

main

Custom title.

col.main

Title color.

cex.main

Title size.

cex.axis

Axis size.

symbol.size.inches

Symbol size.

bg.color

Symbol color.

fg.color

Color of symbol background.

margin

Margin size to accomodate symbols.

frequency.label

Logical to display class frequency labels. Default is TRUE.

frequency.label.cex

Size of class frequency labels.

frequency.label.offset

Offset of class frequency labels.

…

Additional plotting parameters.

See Also

eNetXplorer, plot

Examples

# NOT RUN {
data(QuickStartEx)
binarized=rep("low",length(QuickStartEx$response))
binarized[QuickStartEx$response>median(QuickStartEx$response)]="high"
fit = eNetXplorer(x=QuickStartEx$predictor,y=binarized,family="binomial",n_run=20, 
n_perm_null=10,seed=111)
plot(x=fit,plot.type="contingency")
plotContingency(x=fit,alpha.index=6)
# }