unif2norm: Convert uniform to normal

In faux: Simulation for Factorial Designs

Convert uniform to normal

Description

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

Usage

unif2norm(x, mu = 0, sd = 1, min = NULL, max = NULL)

Arguments

x	the uniformly distributed vector
mu	the mean of the normal distribution to return
sd	the SD of the normal distribution to return
min	the minimum possible value of x (calculated from x if not given)
max	the maximum possible value of x (calculated from x if not given)

Value

a vector with a gaussian distribution

Examples

x <- runif(10000)
y <- unif2norm(x)
g <- ggplot2::ggplot() + ggplot2::geom_point(ggplot2::aes(x, y))
ggExtra::ggMarginal(g, type = "histogram")

faux documentation built on April 20, 2023, 9:13 a.m.