dens.uvpot {POT} | R Documentation |
Density plot for univariate POT models.
## S3 method for class 'uvpot': dens(fitted, main, xlab, ylab, dens.adj = 1, kern.lty = 2, rug = TRUE, plot.kernel = TRUE, plot.hist = TRUE, hist.col = NULL, ...)
fitted |
A object of class ``uvpot'' . Most often, the
return of the fitgpd function. |
main |
The title of the graphic. If missing, the title is set to ``Density Plot''. |
xlab,ylab |
The labels for the x and y axis. If missing, they are set to ``Quantile'' and ``Density'' respectively. |
dens.adj |
Numeric. The adjustment for the kernel density
estimation in the density function. The default is 1. |
kern.lty |
The line type for the kernel density estimation. This
corresponds to the ``lty'' option of the lines
functions. The default is 2. |
rug |
Logical. Should we call the rug function?
Default is TRUE . |
plot.kernel |
Logical. Should the kernel density estimate be plotted? |
plot.hist |
Logical. Should the histogram be plotted? |
hist.col |
The color to fill the histogram. |
... |
Other arguments to be passed to the plot
function. |
The density plot consists of plotting on the same windows the theoretical density and a kernel estimation one. If the theoretical model is correct, then the two densities should be ``similar''.
A graphical window.
Mathieu Ribatet
x <- rgpd(75, 1, 2, 0.1) pwmu <- fitgpd(x, 1, "pwmu") dens(pwmu)