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

In juliancandia/eNetXplorer: Quantitative Exploration of Elastic Net Families for Generalized Linear Models

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.

Author(s)

Julian Candia and John S. Tsang
Maintainer: Julian Candia [e-mail]

See Also

eNetXplorer, plot

Examples

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)

juliancandia/eNetXplorer documentation built on May 11, 2023, 1:59 a.m.