Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

lgumbel

Log-Gumbel Distribution


Description

Probability density, cumulative distribution, inverse cumulative distribution, random sample and starting values functions.

Usage

dlgumbel(x, locationlog = 0, scalelog = 1, log = FALSE)

plgumbel(q, locationlog = 0, scalelog = 1, lower.tail = TRUE, log.p = FALSE)

qlgumbel(p, locationlog = 0, scalelog = 1, lower.tail = TRUE, log.p = FALSE)

rlgumbel(n, locationlog = 0, scalelog = 1)

slgumbel(x)

Arguments

x

A numeric vector of values.

locationlog

location on log scale parameter.

scalelog

scale on log scale parameter.

log

logical; if TRUE, probabilities p are given as log(p).

q

vector of quantiles.

lower.tail

logical; if TRUE (default), probabilities are P[X <= x],otherwise, P[X > x].

log.p

logical; if TRUE, probabilities p are given as log(p).

p

vector of probabilities.

n

number of observations.

Value

A numeric vector.

Examples

x <- seq(0.01, 5, by = 0.01)
plot(x, dlgumbel(x), type = "l")

ssdtools

Species Sensitivity Distributions

v0.3.3
Apache License (== 2.0) | file LICENSE
Authors
Joe Thorley [aut, cre, ctr] (<https://orcid.org/0000-0002-7683-4592>), Carl Schwarz [aut, ctr], Angeline Tillmanns [ctb], Ali Azizishirazi [ctb], Rebecca Fisher [ctb], David Fox [ctb], Kathleen McTavish [ctb], Heather Thompson [ctb], Andy Teucher [ctb], Emilie Doussantousse [ctb], Stephanie Hazlitt [ctb], Nadine Hussein [ctb], Nan-Hung Hsieh [ctb], Sergio Ibarra Espinosa [ctb], Province of British Columbia [cph]
Initial release

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.