plot_trim: Plot summary of a trimmed distribution: pdf + cdf + quantile...

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

Plot summary of a trimmed distribution: pdf + cdf + quantile + random

Description

Plot summary of a trimmed distribution: pdf + cdf + quantile + random

Usage

plot_trim(
  d,
  trim = c(-Inf, Inf),
  doTrunc = FALSE,
  xgrid = quantile_trim(d, seq(0.001, 0.999, length.out = 1000)),
  pgrid = seq(0.001, 0.999, length.out = 1000),
  nsim = 200,
  line.size = 1,
  line.colour = "black",
  area.fill = "salmon",
  area.alpha = 0.5,
  point.colour = "black",
  point.size = 2,
  lab.size = 12,
  txt.size = 4
)

Arguments

d	distributions3 object
trim	Numeric vector of size 2, trimming bounds.
doTrunc	Logical, do truncation? default FALSE, i.e. rectification is used.
xgrid	Numeric vector, x-values where pdf and cdf are evaluated
pgrid	Numeric vector in (0,1), probabilities where quantile function is evaluated
nsim	Integer, number of simulated values
line.size, line.colour, area.fill, area.alpha, point.colour, point.size, lab.size, txt.size,	graphical parameters

Value

a ggplot object.

Examples

# Define Normal distribution
norm <- Normal(mu=0.75,sigma=0.5)
plot_trim(norm)
plot_trim(norm,trim=c(0,1))
plot_trim(norm,trim=c(0,1),doTrunc=TRUE)

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