Convert negative binomial to normal

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")