pRevGumbel {DescTools} | R Documentation |

## "Reverse" Gumbel Distribution Functions

### Description

Density, distribution function, quantile function and random
generation for the “Reverse” Gumbel distribution with
parameters `location`

and `scale`

.

### Usage

```
dRevGumbel (x, location = 0, scale = 1)
pRevGumbel (q, location = 0, scale = 1)
qRevGumbel (p, location = 0, scale = 1)
rRevGumbel (n, location = 0, scale = 1)
qRevGumbelExp(p)
```

### Arguments

`x` , `q` |
numeric vector of abscissa (or quantile) values at which to evaluate the density or distribution function. |

`p` |
numeric vector of probabilities at which to evaluate the quantile function. |

`location` |
location of the distribution |

`scale` |
scale ( |

`n` |
number of random variates, i.e., |

### Value

a numeric vector, of the same length as `x`

, `q`

, or
`p`

for the first three functions, and of length `n`

for
`rRevGumbel()`

.

### Author(s)

Werner Stahel; partly inspired by package VGAM. Martin Maechler for numeric cosmetic.

### See Also

the `Weibull`

distribution functions in **R**'s stats package.

### Examples

```
curve(pRevGumbel(x, scale= 1/2), -3,2, n=1001, col=1, lwd=2,
main = "RevGumbel(x, scale = 1/2)")
abline(h=0:1, v = 0, lty=3, col = "gray30")
curve(dRevGumbel(x, scale= 1/2), n=1001, add=TRUE,
col = (col.d <- adjustcolor(2, 0.5)), lwd=3)
legend("left", c("cdf","pdf"), col=c("black", col.d), lwd=2:3, bty="n")
med <- qRevGumbel(0.5, scale=1/2)
cat("The median is:", format(med),"\n")
```

[Package

*DescTools*version 0.99.55 Index]