nbinom2norm: Convert negative binomial to normal

In faux: Simulation for Factorial Designs

Convert negative binomial to normal

Description

Convert a negative binomial distribution to a normal (gaussian) distribution with specified mu and sd

Usage

nbinom2norm(x, mu = 0, sd = 1, size = NULL, prob = NULL)

Arguments

x	the negative binomially distributed vector
mu	the mean of the normal distribution to return
sd	the SD of the normal distribution to return
size	number of trials (set to max value of x if not specified)
prob	the probability of success on each trial (set to mean probability if not specified)

Value

a vector with a gaussian distribution

Examples

x <- rnbinom(10000, 20, 0.75)
y <- nbinom2norm(x, 0, 1, 20, 0.75)
g <- ggplot2::ggplot() + ggplot2::geom_point(ggplot2::aes(x, y))
ggExtra::ggMarginal(g, type = "histogram")

faux documentation built on April 3, 2025, 7:44 p.m.