plot.bvpot | R Documentation |
Four plots (selectable by which
) are currently provided:
a density plot (1), a dependence function plot (2), a quantile
curves plot (3) and a spectral density plot (4).
Plot diagnostics for the generalized Pareto peaks-over-threshold
margins (selectable by mar
and which
) are also
available.
## S3 method for class 'bvpot'
plot(x, mar = 0, which = 1:4, main, ask = nb.fig <
length(which) && dev.interactive(), grid = 50, above = FALSE,
levels = NULL, tlty = 1, blty = 3, rev = FALSE, p = seq(0.75,
0.95, 0.05), half = FALSE, ...)
x |
An object of class |
mar |
If |
which |
A subset of the numbers |
main |
Title of each plot. If given, should be a
character vector with the same length as |
ask |
Logical; if |
grid , levels |
Arguments for the density plot. The
data is plotted with a contour plot of the bivariate density
of the fitted model in the tail region. The density is evaluated
at |
above |
Logical; if |
tlty |
Line type for the lines identifying the thresholds. |
rev , blty |
Arguments to the dependence function
plot. See |
p |
Lower tail probabilities for the quantile curves plot.
The plot is of the same type as given by the function
|
half |
Argument to the spectral density plot. See
|
... |
Other arguments to be passed through to plotting functions. |
plot.bvevd
, contour
,
abvnonpar
, qcbvnonpar
, hbvevd
bvdata <- rbvevd(500, dep = 0.6, model = "log")
M1 <- fbvpot(bvdata, threshold = c(0,0), model = "log")
## Not run: plot(M1)
## Not run: plot(M1, mar = 1)
## Not run: plot(M1, mar = 2)
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