Convert a truncated normal distribution to a normal (gaussian) distribution
trunc2norm(x, min = min(x), max = max(x), mu = mean(x), sd = stats::sd(x))
Arguments
| x | the truncated normally distributed vector |
|---|---|
| min | the minimum of the truncated distribution (calculated from x if not given) |
| max | the maximum of the truncated distribution (calculated from x if not given) |
| 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) |
Value
a vector with a uniform distribution
Examples
x <- truncnorm::rtruncnorm(10000, 1, 7, 3.5, 2) y <- trunc2norm(x, 1, 7) g <- ggplot2::ggplot() + ggplot2::geom_point(ggplot2::aes(x, y)) ggExtra::ggMarginal(g, type = "histogram")
