pp.gumbel: Probability versus Probability (PP) plot for the Gumbel...

In reliaR: Package for some probability distributions.

Description

The function pp.gumbel() produces a PP plot for the Gumbel based on their MLE or any other estimate. Also, a reference line can be sketched.

Usage

pp.gumbel(x, mu.est, sigma.est, main = " ", line = 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	logical; if TRUE, a 45 degree line is sketched.
...	additional arguments to be passed to the underlying plot function.

Value

The function pp.gumbel() carries out a PP 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

qq.gumbel for QQ 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

pp.gumbel(dataset2, 212.157, 151.768, main = " ", line = TRUE)

Example output

$Cor.Coeff
[1] 0.9971029

$Determination.Coeff
[1] 99.42142

reliaR documentation built on May 1, 2019, 9:51 p.m.