CPAT (version 0.1.0)

rchangepoint: Simulate Univariate Data With a Single Change Point

Description

This function simulates univariate data with a structural change.

Usage

rchangepoint(n, changepoint = NULL, mean1 = 0, mean2 = 0,
  dist = rnorm, meanparam = "mean", ...)

Arguments

n

An integer for the data set's sample size

changepoint

An integer for where the change point occurs

mean1

The mean prior to the change point

mean2

The mean after the change point

dist

The function with which random data will be generated

meanparam

A string for the parameter in dist representing the mean

...

Other arguments to be passed to dist

Value

A vector of the simulated data

Details

This function generates artificial change point data, where up to the specified change point the data has one mean, and after the point it has a different mean. By default, the function simulates standard Normal data with no change. If changepoint is NULL, then by default the change point will be at about the middle of the data.

Examples

# NOT RUN {
CPAT:::rchangepoint(500)
CPAT:::rchangepoint(500, changepoint = 10, mean2 = 2, sd = 2)
CPAT:::rchangepoint(500, changepoint = 250, dist = rexp, meanparam = "rate",
                    mean1 = 1, mean2 = 2)
# }