plot.fs: Feature signficance plot for 1- to 3-dimensional data

In feature: Local Inferential Feature Significance for Multivariate Kernel Density Estimation

Description

Feature signficance plot for 1- to 3-dimensional data.

Usage

## S3 method for class 'fs'
plot(x, xlab, ylab, zlab, xlim, ylim, zlim, add=FALSE, addData=FALSE,
   scaleData=FALSE, addDataNum=1000, addKDE=TRUE,jitterRug=TRUE,
   addSignifGradRegion=FALSE, addSignifGradData=FALSE,
   addSignifCurvRegion=FALSE, addSignifCurvData=FALSE, addAxes3d=TRUE,
   densCol, dataCol="black", gradCol="#33A02C", curvCol="#1F78B4",
   axisCol="black", bgCol="white", dataAlpha=0.1, gradDataAlpha=0.3,
   gradRegionAlpha=0.2, curvDataAlpha=0.3, curvRegionAlpha=0.3, rgl=FALSE, ...)

Arguments

x	object of class fs (output from featureSignif function)
xlim,ylim,zlim	x-, y-, z-axis limits
xlab,ylab,zlab	x-, y-, z-axis labels
scaleData	flag for scaling the data i.e. transforming to unit variance for each dimension
add	flag for adding to an existing plot
addData	flag for display of the data
addDataNum	maximum number of data points plotted in displays
addKDE	flag for display of kernel density estimates
jitterRug	flag for jittering of rug-plot for univariate data display
addSignifGradRegion,addSignifGradData	flag for display of significant gradient regions/data points
addSignifCurvRegion,addSignifCurvData	flag for display of significant curvature regions/data points
addAxes3d	flag for displaying axes in 3-d displays
densCol	colour of density estimate curve
dataCol	colour of data points
gradCol	colour of significant gradient regions/data points
curvCol	colour of significant curvature regions/data points
axisCol	colour of axes
bgCol	colour of background
dataAlpha	transparency of data points
gradRegionAlpha,gradDataAlpha	transparency of significant gradient regions/data points
curvRegionAlpha,curvDataAlpha	transparency of significant curvature regions/data points
rgl	flag to send 3D graphics to RGL window. Default is FALSE (usual graphics window).
...	other graphics parameters

Value

Plot of 1-d and 2-d kernel density estimates are sent to graphics window. Plot for 3-d is sent to RGL/graphics window.

See Also

featureSignif

Examples

## See ? featureSignif for uni- and bivariate examples
## Trivariate example
data(earthquake)
earthquake[,3] <- -log10(-earthquake[,3])
fs <- featureSignif(earthquake, scaleData=TRUE, bw=c(0.06, 0.06, 0.05))
plot(fs, addKDE=TRUE, addSignifCurvData=TRUE)
plot(fs, addKDE=FALSE, addSignifCurvRegion=TRUE)
if (interactive()) plot(fs, addKDE=FALSE, addSignifCurvRegion=TRUE, rgl=TRUE)

feature documentation built on Feb. 10, 2021, 9:06 a.m.