eNetXplorer (version 1.1.2)

plotSummary: generates summary plots of model performance across alpha

Description

This function generates summary plots to display the performance of all models in the elastic net family. Two measures are used: 1) mean quality function of response vs out-of-bag predictions, and 2) model vs null p-values. Taken together, these plots enable visual assessments of the relative performance among different member models in the elastic net family, as well as in relation to permutation null models.

Usage

plotSummary(x, show.pval.ref=TRUE, main=NULL, col.main="black", cex.main=0.95, 
line=1, …)

Arguments

x

eNetXplorer object.

show.pval.ref

Logical to display reference lines of significance (if within range of model vs null p-values). Default is TRUE.

main

Custom title.

col.main

Title color.

cex.main

Title size.

line

Title position.

…

Additional plotting parameters.

See Also

eNetXplorer, plot

Examples

# NOT RUN {
data(QuickStartEx)
fit = eNetXplorer(x=QuickStartEx$predictor,y=QuickStartEx$response,
family="gaussian",n_run=20,n_perm_null=10,seed=111)
plot(x=fit, plot.type="summary")
plotSummary(x=fit,show.pval.ref=FALSE)
# }