dataG1: One-dimensional gaussian segmentation

In vrunge/plotFPOP: plot of the functional cost FPOP 1d 2d

Description

Simulating a one-dimenstional segmentation with a given number of segments

Usage

dataG1(mean = c(0.5, 0, -0.5, 0), tau = c(0.25, 0.5, 0.75, 1), sigma = 1,
  n = 100)

Arguments

mean	Vector of means (mean of consecutive segments)
tau	relative position (between 0 and 1) of the changepoints (the last position is always 1)
sigma	A positive number: the value (unique) of the standard deviation for all the Gaussian laws in the simulation
n	The number of data point to simulate

Value

A vector of data of length n generated by the simulated segmentation

Examples

data <- dataG1(sigma = 0.05, n=20)
plot(1:20,data)

vrunge/plotFPOP documentation built on May 29, 2019, 9:57 a.m.