Last data update: 2014.03.03
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R: Plot for kernel density derivative estimate
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 )
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... |
other graphics parameters:
which.deriv.ind index of the partial derivative to
be plotted (>1-d)
and those used in plot.kde
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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", ...)
Value
Plots for 1-d and 2-d are sent to graphics window. Plot for 3-d is sent to
RGL window.
See Also
plot.kde
Examples
## univariate example
data(unicef)
fhat1 <- kdde(x=unicef[,1], deriv.order=1) ## gradient [df/dx, df/dy]
plot(fhat1, xlab="Under-5") ## df/dx
points(30,predict(fhat1, x=30))
## bivariate example
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
Results
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