plot.h.mcv: Plot for Modified Cross-Validation

In kedd: Kernel Estimator and Bandwidth Selection for Density and Its Derivatives

Description

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

Usage

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

Arguments

x	object of class h.mcv (output from h.mcv).
seq.bws	the sequence of bandwidths in which to compute the modified 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".

Value

Plot of 1-d modified 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.
mcv	the values of the modified cross-validation function in the bandwidths grid.

Author(s)

Arsalane Chouaib Guidoum [e-mail]

See Also

h.mcv.

Examples

par(mfrow=c(2,1))
plot(h.mcv(trimodal,deriv.order=0),main="")
plot(h.mcv(trimodal,deriv.order=1),main="")

kedd documentation built on May 2, 2019, 7:32 a.m.