r_gamma: Generate Gamma Distributed Values

In rando: Context Aware Random Numbers

Description

Generates a set of Gamma distributed values. Can be defined by one and only one of scale, rate or mean. This must be named in the call.

Usage

r_gamma(
  shape,
  ...,
  scale = 1,
  rate = NULL,
  mean = NULL,
  n = default_n(shape, scale, rate, mean),
  .seed = NULL
)

Arguments

shape	vector of shape parameters, strictly positive
...	Unused
scale	vector of scale parameters, cannot be specified with rate and mean, strictly positive
rate	vector of rate parameters, cannot be specified with scale and mean, strictly positive
mean	vector of mean parameters, cannot be specified with scale and rate, strictly positive
n	number of observations to generate. The default_n() function will provide a default value within context
.seed	One of the following: NULL (default) will not change the current seed. This is the usual case for generating random numbers. A numeric value. This will be used to set the seed before generating the random numbers. This seed will be stored with the results. TRUE. A random seed value will be generated and set as the seed before the results are generated. Again, this will be stored with the results. To extract the random seed from a previously generated set of values, use pull_seed()

Value

A numeric vector of length n

Examples

set_n(5)

r_gamma(10)

r_gamma(1:10, scale = 2)
r_gamma(1:10, rate = 1 / 2)
r_gamma(1:10, mean = 5)

r_gamma(10, n = 10)

rando documentation built on Feb. 16, 2021, 5:07 p.m.