random_trim: Random numbers from a trimmed distribution

In benRenard/disTRIMbution: Estimation of Trimmed (Either Truncated or Rectified) Distributions

Random numbers from a trimmed distribution

Description

Generate random numbers from a trimmed distribution.

Usage

random_trim(d, n, trim = c(-Inf, Inf), doTrunc = FALSE)

Arguments

d	distributions3 object
n	Integer, number of samples to draw
trim	Numeric vector of size 2, trimming bounds.
doTrunc	Logical, do truncation? default FALSE, i.e. rectification is used.

Value

a numeric vector containing the generated values

Examples

# Define Normal distribution
norm <- Normal(mu=0.75,sigma=0.5)
# Generate values from basic / rectified / truncated Gaussian distributions
n=1000
y0=random_trim(norm,n)
yr=random_trim(norm,n,trim=c(0,1))
yt=random_trim(norm,n,trim=c(0,1),doTrunc=TRUE)
# plot results
par(mfrow=c(2,3))
lim=c(-0.75,2.25)
plot(y0,ylim=lim);plot(yr,col='red',ylim=lim);plot(yt,col='blue',ylim=lim)
hist(y0,xlim=lim);hist(yr,col='red',xlim=lim);hist(yt,col='blue',xlim=lim)

benRenard/disTRIMbution documentation built on July 1, 2023, 4:24 a.m.