quantile_trim: Quantile of a trimmed distribution

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

Quantile of a trimmed distribution

Description

Evaluate the quantile of a trimmed distribution.

Usage

quantile_trim(d, p, trim = c(-Inf, Inf), doTrunc = FALSE)

Arguments

d	distributions3 object
p	Numeric vector in [0,1], probabilities at which quantiles are evaluated
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 quantiles.

Examples

# Define Normal distribution
norm <- Normal(mu=0.75,sigma=0.5)
# Define a grid of values p
p=seq(0,1,,100)
# Compare quantiles of basic / rectified / truncated Gaussian distributions
y0=quantile_trim(norm,p)
yr=quantile_trim(norm,p,trim=c(0,1))
yt=quantile_trim(norm,p,trim=c(0,1),doTrunc=TRUE)
plot(p,y0,type='l')
points(p,yr,col='red')
points(p,yt,col='blue',pch=3)

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