Description Usage Arguments Author(s) See Also Examples
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.
1 2 | plotSummary(x, show.pval.ref=TRUE, main=NULL, col.main="black", cex.main=0.95,
line=1, ...)
|
x |
|
show.pval.ref |
Logical to display reference lines of significance (if within range of model vs null p-values). Default is |
main |
Custom title. |
col.main |
Title color. |
cex.main |
Title size. |
line |
Title position. |
... |
Additional plotting parameters. |
Julian Candia and John S. Tsang
Maintainer: Julian Candia julian.candia@nih.gov
1 2 3 4 5 | 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)
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