plot.h.bcv: Plot for Biased Cross-Validation

Description

The plot.h.bcv function loops through calls to the h.bcv function. Plot for biased cross-validation function for 1-dimensional data.

Usage

# S3 method for h.bcv
plot(x, seq.bws=NULL, ...)
# S3 method for h.bcv
lines(x,seq.bws=NULL, ...)

Value

Plot of 1-d biased cross-validation function are sent to graphics window.

kernel: name of kernel to use.
deriv.order: the derivative order to use.
seq.bws: the sequence of bandwidths.
bcv: the values of the biased cross-validation function in the bandwidths grid.

Arguments

x: object of class h.bcv (output from h.bcv).
seq.bws: the sequence of bandwidths in which to compute the biased cross-validation function. By default, the procedure defines a sequence of 50 points, from 0.15*hos to 2*hos (Over-smoothing).
...: other graphics parameters, see par in package "graphics".

Author

Arsalane Chouaib Guidoum acguidoum@usthb.dz

Examples

Run this code

## EXAMPLE 1:

plot(h.bcv(trimodal, whichbcv = 1, deriv.order = 0),main="",sub="")
lines(h.bcv(trimodal, whichbcv = 2, deriv.order = 0),col="red")
legend("topright", c("BCV1","BCV2"),lty=1,col=c("black","red"),inset = .015)

## EXAMPLE 2:

plot(h.bcv(trimodal, whichbcv = 1, deriv.order = 1),main="",sub="")
lines(h.bcv(trimodal, whichbcv = 2, deriv.order = 1),col="red")
legend("topright", c("BCV1","BCV2"),lty=1,col=c("black","red"),inset = .015)