norm2norm: Convert normal to normal

In faux: Simulation for Factorial Designs

Convert normal to normal

Description

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

Usage

norm2norm(x, mu = 0, sd = 1, x_mu = mean(x), x_sd = stats::sd(x))

Arguments

x	the uniformly distributed vector
mu	the mean of the normal distribution to return
sd	the SD of the normal distribution to return
x_mu	the mean of x (calculated from x if not given)
x_sd	the SD of x (calculated from x if not given)

Value

a vector with a gaussian distribution

Examples

x <- rnorm(10000)
y <- norm2norm(x, 100, 10)
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.