qqgh: Draw a Q-Q plot based on g-and-h distribution

In tukeyGH: Tukey's g-and-h Probability Distribution

Description

Draw a quantile-quantile plot based on the Tukey's g-and-h distribution.

Usage

qqgh(x, theta = NULL, qqline = TRUE, grid = TRUE, ...)

Arguments

x	either data as a numeric vector, or an object of class fitGH, as returned by fitGH().
theta	parameters of the g-and-h distribution as a numeric vector of length four: (a, b, g, h). If argument x is a fitGH object, and argument theta is NULL, theta will be initialised with coef(x).
qqline	if TRUE (default) a Q-Q line will be added to the graph by means of qqline()
grid	if TRUE (default) a Q-Q line will be added to the graph by means of grid().
...	other arguments passed to qqplot().

Value

A named list with the following components:

• teo_quantile: theoretical quantile function (with argument p)

• qqplot: output of function qqplot()

Examples

data("EPWS2014")
modII <- fitGH(EPWS2014)
qqgh(modII)

tukeyGH documentation built on April 10, 2021, 9:06 a.m.