Plot for kernel feature significance
Plot for kernel significant regions for 1- to 3-dimensional data.
## S3 method for class 'kfs' plot(x, display="filled.contour", col="orange", colors="orange", abs.cont, alphavec=0.4, add=FALSE, ...)
x |
object of class |
display |
type of display, "slice" for contour plot, "persp" for perspective plot, "image" for image plot, "filled.contour" for filled contour plot (1st form), "filled.contour2" (2nd form) (2-d), "plot3D" (3-d), "rgl" (3-d) |
col,colors |
colour for contour region |
abs.cont |
absolute contour height. Default is 0.5. |
alphavec |
vector of transparency values for contour (3-d) |
add |
flag to add to current plot. Default is FALSE. |
... |
other graphics parameters used in |
Plots for 1-d and 2-d are sent to graphics window. Plot for 3-d is sent to graphics/RGL window.
library(MASS) data(geyser) geyser.fs <- kfs(geyser, binned=TRUE) plot(geyser.fs)
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