DeCAFS (version 3.2.3)

dataSinusoidal: Generating data from a sinusoidal model with changes

Description

This function generates a sequence of observation from a sinusoidal model with changes. This can be used as an example for model misspecification.

Usage

dataSinusoidal(
  n,
  amplitude = 1,
  frequency = 0.001,
  phase = 0,
  sd = 1,
  type = c("none", "up", "updown", "rand1"),
  nbSeg = 20,
  jumpSize = 1
)

Arguments

n

The length of the sequence of observations.

amplitude

The amplitude of the sinusoid

frequency

The angular frequency of the sinusoid

phase

where the signal starts at time t = 0

sd

standard deviation of the noise added on top of the signal

type

Possible change scenarios for the jump structure (default: none)

nbSeg

Number of segments

jumpSize

Maximum magnitude of a change

Value

A list containing:

y

the data sequence,

signal

the underlying signal without the noise,

changepoints

the changepoint locations

Examples

# NOT RUN {
Y <- dataSinusoidal(
  1e4,
  frequency = 1 / 1e3,
  amplitude = 10,
  type = "updown",
  jumpSize = 4,
  nbSeg = 4
)
res <- DeCAFS(Y$y)
plot(res, col = "grey")
lines(Y$signal, col = "blue", lwd = 2, lty = 2)
abline(v = res$changepoints, col = 2)
abline(v = Y$changepoints, col = 4, lty = 2)
# }