kedd (version 1.0.2)

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

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.

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.

newcommand

\CRANpkg

href

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

pkg

#1

See Also

h.bcv.

Examples

## 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)