ssdtools: gamma – R documentation

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gamma

Gamma Distribution

Description

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

Usage

dgamma(x, shape = 1, scale = 1, log = FALSE)

pgamma(q, shape = 1, scale = 1, lower.tail = TRUE, log.p = FALSE)

qgamma(p, shape = 1, scale = 1, lower.tail = TRUE, log.p = FALSE)

rgamma(n, shape = 1, scale = 1)

sgamma(x)

Arguments

`x`	A numeric vector of values.
`shape`	A string of the column in data for the shape aesthetic.
`scale`	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, dgamma(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