| plot.histde | R Documentation |
Plot for histogram density estimate for 1- and 2-dimensional data.
## S3 method for class 'histde'
plot(x, ...)
x |
object of class |
... |
other graphics parameters:
|
For histde objects, the function headers for the different dimensional data are
## univariate
plot(fhat, xlab, ylab="Density function", add=FALSE, drawpoints=FALSE,
col.pt=4, jitter=FALSE, border=1, alpha=1, ...)
## bivariate
plot(fhat, breaks, nbreaks=11, xlab, ylab, zlab="Density function", cex=1,
pch=1, add=FALSE, drawpoints=FALSE, col, col.fun, alpha=1, col.pt=4,
lty.rect=2, cex.text=1, border, lwd.rect=1, col.rect="transparent",
add.grid=TRUE, ...)
The 1-d plot is a standard plot of a histogram generated by hist. If
drawpoints=TRUE then a rug plot is added.
The 2-d plot is similar to the display="filled.contour" option from
plot.kde with the default nbreaks=11 contour
levels.
Plots for 1-d and 2-d are sent to graphics window.
plot.kde
## univariate example
data(iris)
fhat <- histde(x=iris[,2])
plot(fhat, xlab="Sepal length")
## bivariate example
fhat <- histde(x=iris[,2:3])
plot(fhat, drawpoints=TRUE)
box()
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