kedd (version 1.0.3)

plot.h.ccv: Plot for Complete Cross-Validation

Description

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

Usage

## S3 method for class 'h.ccv':
plot(x, seq.bws=NULL, \dots)
## S3 method for class 'h.ccv':
lines(x,seq.bws=NULL, \dots)

Arguments

x

object of class h.ccv (output from h.ccv).

seq.bws

the sequence of bandwidths in which to compute the complete 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 complete 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.
• ccv
  the values of the complete cross-validation function in the bandwidths grid.

newcommand

\CRANpkg

href

http://CRAN.R-project.org/package=#1

pkg

#1

See Also

h.ccv.

Examples

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