SimPolyChangePoint: Simulate polynomial change point model

Description Usage Arguments Value Examples

View source: R/SimPolyChangePoint.R

Description

Simulate data from a change point model made of polynomials.

Usage

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SimPolyChangePoint(
  N,
  sigma = NULL,
  xRange = NULL,
  x0 = NULL,
  m1 = NULL,
  m2 = NULL,
  seed = NULL
)

Arguments

N

number of data points to simulate.

sigma

noise level, default = .1.

xRange

minimum and maximum x values, default = c(0,1).

x0

change point value, default = 0.5.

m1

coefficients for first polynomial model, default = c(1,2).

m2

coefficients for second polynomial model, default = c(0,3).

seed

seed for RNG (default = NULL).

Value

list(data = matrix(x,y,z), t = t)

Examples

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N = 100
noise = .1
xRange = c(0,1)
x0 = .5
m1 = c(1,2)
m2 = c(5,2)
SimPolyChangePoint(N, noise, xRange, x0, m1, m2)

feji3769/simplesim documentation built on Dec. 12, 2020, 10:16 a.m.