featureSelectionPlot: Plotting results of your feature selection

In juanbot/G2PML:

Description

The results from a call to caret::featureSelection can be plotted with this function

Usage

featureSelectionPlot(fsdata, r = 0.6)

Arguments

fsdata	The results from caret::featureSelection
r	It has the same meaning as in caret::featureSelection. Higher the value, most selective is the filter to select which features appear in the plot.

Value

It plots a feature selection result organized into the categories to which selected features belong to.

Examples

genes <- getGenesFromPanelApp(disorder="Neurology and neurodevelopmental disorders",
  panel="Parkinson Disease and Complex Parkinsonism", color = "green")
featureSelectionPlot(featureSelection(genes, controls = "allgenome"))

juanbot/G2PML documentation built on Aug. 1, 2020, 5:07 a.m.