norm2unif: Convert normal to uniform

In faux: Simulation for Factorial Designs

Convert normal to uniform

Description

Convert a normal (gaussian) distribution to a uniform distribution with specified minimum and maximum

Usage

norm2unif(x, min = 0, max = 1, mu = mean(x), sd = stats::sd(x))

Arguments

x	the normally distributed vector
min	the minimum of the uniform distribution to return
max	the maximum of the uniform distribution to return
mu	the mean of x (calculated from x if not given)
sd	the SD of x (calculated from x if not given)

Value

a vector with a uniform distribution

Examples

x <- rnorm(10000)
y <- norm2unif(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.