POT (version 1.1-7)

plot.bvpot: Graphical Diagnostics: the Bivariate Extreme Value Distribution Model.

Description

Plot several graphics to judge goodness of fit of the fitted model.

Usage

# S3 method for bvpot
plot(x, mains, which = 1:3, ask = nb.fig < length(which)
&& dev.interactive(), …)

Arguments

x

An object of class "bvpot". Most often, the object returned by the fitbvgpd function.

mains

May be missing. If present a 3--vector of character strings which gives the titles of the plots.

which

a numeric vector which specifies which plot must be drawn : '1' for Pickands' Dependence Function plot, '2' for a bivariate return level plot, '3' for the spectral density plot.

ask

Logical. If TRUE, user is asked before each plot.

…

Other parameters to pass to the plot function.

Value

Several plots.

See Also

fitbvgpd

Examples

# NOT RUN {
x <- rbvgpd(1000, alpha = 0.55, mar1 = c(0,1,0.25), mar2 = c(2,0.5,0.1))
Mlog <- fitbvgpd(x, c(0, 2), "log")
layout(matrix(c(1,1,2,2,0,3,3,0), 2, byrow = TRUE))
plot(Mlog)
# }