data_sim: Data Simulation Function

In ericchen12377/mixDP: Mixture Models with Dirichlet Process

Description

Define the function to simulate the datasets with multiple dimensions and multivariate normal distributions.

percentage, SDlist, t, Tmatrix, N, Coeflist, seed=10, random = TRUE

Usage

data_sim(percentage, SDlist, t, Tmatrix, N, Coeflist, seed, random = TRUE)

Arguments

percentage	Percentage of each cluster, sum to 1
SDlist	List of standard deviation matrices for each cluster
t	Length of trajectory, t=1 will be single point; t can be used to specify the length of trajectory for training/validation/testing
Tmatrix	Feature matrix for the trajectory.
N	Number of trajectories
Coeflist	List of coefficient matrices for each cluster
seed	Set the random seed for simulation
random	Specify whether the simulation data has exact percentage or approximate percentage for each cluster

Value

Simulation dataset

ericchen12377/mixDP documentation built on June 23, 2021, 12:02 p.m.