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evd (version 1.2-3)

qq: A Q-Q Plot for an evd Object

Description

A Q-Q plot for an evd object.

Usage

pp(x, ci = TRUE, main = "Quantile Plot", xlab = "Model", 
    ylab = "Empirical", ...)

Arguments

x
An object of class "evd".
ci
Logical; if TRUE (the default), plot simulated 95% confidence intervals.
main
Title of plot.
xlab,ylab
Labels for x and y axes.
...
Other plot parameters.

Details

The Q-Q plot consists of the points $${(G^{-1}(p_i), z_i), i = 1,\ldots,m}$$ where $G^{-1}$ is the model based estimate of the generalized extreme value quantile function, $p_1,\ldots,p_m$ are plotting points defined by ppoints, and $z_1,\ldots,z_m$ are the data used in the fitted model, sorted into ascending order.

For non-stationary models the data are transformed to stationarity. The plot then corresponds to the distribution obtained when all covariates are zero.

See Also

dens, plot.evd, ppoints, pp, rl

Examples

Run this code
uvdata <- rgev(100, loc = 0.13, scale = 1.1, shape = 0.2)
M1 <- fgev(uvdata)
qq(M1)

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