r_beta: Generate Beta Distributed Values

In rando: Context Aware Random Numbers

Description

Generates a set of Beta distributed values.

Usage

r_beta(alpha, beta, ..., n = default_n(alpha, beta), .seed = NULL)

Arguments

alpha, beta	vectors of shape parameters, strictly positive
...	Unused
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_beta(1, 1)

r_beta(1:10, 2)

r_beta(1, 2, n = 10)

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