plotSummary: generates summary plots of model performance across alpha

Description Usage Arguments Author(s) See Also Examples

View source: R/plotSummary.R

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

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plotSummary(x, show.pval.ref = T, 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 [email protected]

See Also

eNetXplorer, plot

Examples

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## 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=F,main="custom title",col.main="blue")

## End(Not run)

juliancandia/eNetXplorer documentation built on April 22, 2018, 9:20 p.m.