qq.gumbel: Quantile versus quantile (QQ) plot for the Gumbel...

In reliaR: Comprehensive Tools for some Probability Distributions

Quantile versus quantile (QQ) plot for the Gumbel distribution

Description

The function qq.gumbel() produces a QQ plot for the Gumbel based on their MLE or any other estimate. Also, a line going through the first and the third quartile can be sketched.

Usage

qq.gumbel(x, mu.est, sigma.est, main = " ", line.qt = FALSE, ...)

Arguments

x	vector of observations
mu.est	estimate of the parameter mu
sigma.est	estimate of the parameter sigma
main	the title for the plot
line.qt	logical; if TRUE, a line going by the first and third quartile is sketched.
...	additional arguments to be passed to the underlying plot function.

Value

The function qq.gumbel() carries out a QQ plot for the Gumbel.

References

Marshall, A. W., Olkin, I.(2007). Life Distributions: Structure of Nonparametric, Semiparametric, and Parametric Families, Springer, New York.

See Also

pp.gumbel for PP plot and ks.gumbel function;

Examples

## Load data sets
data(dataset2)
## Maximum Likelihood(ML) Estimates of mu & sigma for the data(dataset2)
## Estimates of mu & sigma using 'maxLik' package
## mu.est = 212.157, sigma.est = 151.768

qq.gumbel(dataset2, 212.157, 151.768, main = " ", line.qt = FALSE)

reliaR documentation built on Nov. 5, 2025, 6:57 p.m.