tnorm: Truncated Normal Functions

In TruncatedDistributions: Use Truncated Distribution functions

Description

pdf, cdf, inverse cdf, and random deviates of the truncated normal distribution.

Usage

rtnorm(n, mean=0, sd=1, a=-Inf, b=Inf)
dtnorm(x, mean=0, sd=1, a=-Inf, b=Inf)
ptnorm(q, mean=0, sd=1, a=-Inf, b=Inf)
qtnorm(p, mean=0, sd=1, a=-Inf, b=Inf)

Arguments

x,q	vector of quantiles.
p	vector of probabilities.
n	number of observations. If length(n) > 1, the length is taken to be the number required.
mean	vector of means.
sd	vector of standard deviations.
a	vector of lower truncation limits
b	vector of upper truncation limits

Value

dtnorm gives the density, ptnorm gives the distribution function, qtnorm gives the quantile function, and rtnorm generates random deviates.

Author(s)

Rob Carnell

Examples

  rtnorm(5, 1, 2, 0.5, 3.0)
  dtnorm(seq(0, 4, by=0.5), 1, 2, 0.5, 3.0)
  ptnorm(seq(0, 4, by=0.5), 1, 2, 0.5, 3.0)
  qtnorm(seq(0, 1, by=0.1), 1, 2, 0.5, 3.0)

TruncatedDistributions documentation built on May 2, 2019, 4:52 p.m.