plotSummary: generates summary plots of model performance across alpha

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

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.

Author(s)

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

See Also

eNetXplorer, plot

Examples

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)

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