trunc_laplace_distribution: The truncated Laplace distribution

In mbedward/walkies: Random walks

Description

Density, distribution function and random generation for the truncated Laplace distribution.

Usage

dtrunclaplace(x, mean, scale, lower, upper)

ptrunclaplace(q, mean, scale, lower, upper)

rtrunclaplace(n, mean, scale, lower, upper)

Arguments

x,	q vector of quantiles
mean	vector of means
scale	vector of scale parameters (> 0)
lower	lower bound of distribution
upper	upper bound of distribution
n	number of observations. If length(n) > 1, the length is taken to be the number required

Examples

## Not run: 
# Compare the distribution of random angles from a truncated
# Laplace versus those from a standard Laplace distribution.
N <- 1000
as <- rlaplace(N, mean=0 scale=1.0)
at <- rtrunclaplace(N, mean=0, scale=1.0, lower=-pi/2, upper=pi/2)

library(ggplot2)
dat <- data.frame(angle = c(as, at), distribution = rep(c("standard", "truncated"), each=N))
ggplot() +
  geom_histogram(data=dat, aes(x=angle, fill=distribution), position="dodge", binwidth=pi/10) +
  theme_bw()

## End(Not run)

mbedward/walkies documentation built on May 22, 2019, 12:19 p.m.