Convert normal to normal

Source: R/distribution_convertors.R

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

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")