simdata: Simulate Data sets

In msma: Multiblock Sparse Multivariable Analysis

Simulate Data sets

Description

This is a function for generating multiblock data based on the multivariable normal distribusion

Usage

simdata(n = 100, rho = 0.8, Yps = c(100, 120, 150), Xps = 500, seed = 1)

Arguments

n	a numeric scalar, sample size.
rho	a numeric scalar, correlation coefficient.
Yps	a numeric vector, numbers of columns for Y. The length of vector corresponds to the number of blocks.
Xps	a numeric vector, numbers of columns for X. The length of vector corresponds to the number of blocks.
seed	a seed number for generating random numbers.

Details

The output is a list of matrics.

Value

X	Simulated X which has a list form
Y	Simulated Y which has a list form

msma documentation built on May 29, 2024, 2:52 a.m.