R: Reverse Transformation

revtrans.evd {extRemes} | R Documentation

## Reverse Transformation

### Description

Reverse transform standardized data to follow a non-standardized extreme value distribution (EVD).

### Usage

    revtrans.evd(z, threshold = NULL, location = NULL, scale, shape = NULL,
        type = c("GEV", "GP", "PP", "Gumbel", "Weibull", "Frechet",
        "Exponential", "Beta", "Pareto"))

### Arguments

`z` | numeric vector of data of length n following a standardized EVD.
`threshold` | number or numeric vector of length n giving the threshold, if applicable.
`location` | number or numeric vector of length n giving the location parameter(s), if applicable.
`scale` | number or or numeric vector of length n giving the scale parameter(s).
`shape` | number or numeric vector of length n giving the shape parameter(s), if applicable.
`type` | character string naming to what EVD should the data be reverse-transformed. Default is GEV df.

### Details

For standardized EVD data (e.g., via `trans`), this function performs the reverse transformation back to the original scale.

### Value

numeric vector of length n.

### Author(s)

Eric Gilleland

### See Also

`trans`, `trans.fevd`, `fevd`

### Examples

    data(PORTw)

    fit <- fevd(TMX1, PORTw, location.fun=~AOindex, units="deg C")
    fit

    z <- trans(fit)

    fevd(z)

    p <- findpars(fit)

    y <- revtrans.evd(z=z, location=p$location, scale=2.6809613,
        shape=-0.1812824)

    fevd(y)

    qqplot(y, PORTw$TMX1)

[Package extRemes version 2.0-9 Index]