extRemes (version 2.2)

revtrans.evd: 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"))

Value

numeric vector of length n.

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.

Author

Eric Gilleland

Details

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

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)