norm2trunc: Convert normal to truncated normal

In faux: Simulation for Factorial Designs

Convert normal to truncated normal

Description

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

Usage

norm2trunc(
  x,
  min = -Inf,
  max = Inf,
  mu = mean(x),
  sd = stats::sd(x),
  x_mu = mean(x),
  x_sd = stats::sd(x)
)

Arguments

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

Examples

x <- rnorm(10000)
y <- norm2trunc(x, 1, 7, 3.5, 2)
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.