dataG2: Two-dimensional gaussian segmentation

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

Description

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

Usage

dataG2(mean1 = c(0, 1, 1, 0), mean2 = c(0, 0, 1, 1), tau = c(0.25, 0.5,
  0.75, 1), sigma = 1, n = 100)

Arguments

mean1	Vector of means for the first dimension
mean2	Vector of means for the second dimension
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 #' @param n The number of data point to simulate
n	The number of data point to simulate

Value

A matrix of data of dimension 2 x n generated by the simulated segmentation

Examples

data <- dataG2(sigma = 0.05, n=50)
max = max(data);min = min(data)
plot(1:50,data[1,],ylim = c(min,max))
par(new = TRUE)
plot(1:50,data[2,],ylim = c(min,max),col=2)
par(new = FALSE)

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