ks (version 1.9.5)

plot.kdde: Plot for kernel density derivative estimate

Description

Plot for kernel density derivative estimate for 1- to 3-dimensional data.

Usage

## S3 method for class 'kdde':
plot(x, ...)

Arguments

x

an object of class kdde (output from kdde)

...

other graphics parameters: [object Object]

and those used in plot.kde

Value

• Plots for 1-d and 2-d are sent to graphics window. Plot for 3-d is sent to RGL window (not yet implemented).

Details

For kdde objects, the function headers for the different dimensional data are ## univariate plot(fhat, ylab="Density derivative function", ...)

## bivariate plot(fhat, which.deriv.ind=1, cont=c(25,50,75), abs.cont, display="slice", zlab="Density derivative function", ...)

See Also

plot.kde

Examples

## univariate example
x <- rnorm.mixt(n=100, mus=1, sigmas=1, props=1)
fhat1 <- kdde(x=x, deriv.order=1)
plot(fhat1)

## bivariate example
data(unicef)
fhat2 <- kdde(x=unicef, deriv.order=2)
plot(fhat2, which.deriv.ind=2, display="persp", phi=20)
plot(fhat2, which.deriv.ind=2, display="filled.contour2", col.fun=topo.colors)
  ## d^2 f/(dx dy): purple=-ve, green=zero, beige=+ve