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The Gamma distribution

Source: R/integration.R
GammaDist.Rd

We provide convenient extensions of the [dpq]gamma functions, which allow the distribution to be specified in terms of its mean and standard deviation, instead of shape and rate/scale.

Usage

qgamma(
  p,
  shape,
  rate = 1,
  scale = 1/rate,
  lower.tail = TRUE,
  log.p = FALSE,
  mean,
  sd
)

dgamma(x, shape, rate = 1, scale = 1/rate, log = FALSE, mean, sd)

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

Arguments

p

vector of probabilities

shape, rate, scale, log, lower.tail, log.p

see stats::GammaDist

mean, sd

mean and standard deviation, overriding shape and rate or scale if specified

x, q

vector of quantiles

Value

Numeric vector of length equal to the maximum of the lengths of the input arguments.