simulate_matrix: Generate a list of simulated sample matrices sampled from the...

In psychmeta/psychmeta: Psychometric Meta-Analysis Toolkit

Generate a list of simulated sample matrices sampled from the Wishart distribution

Description

This function generates simulated sample matrices based on a population matrix and a sample size. It uses the Wishart distribution (i.e., the multivariate \chi^{2} distribution) to obtain data, rescales the data into the input metric, and can be standardized into a correlation matrix by setting as_cor to TRUE. The function can produce a list of matrices for any number of samples.

Usage

simulate_matrix(sigma, n, k = 1, as_cor = FALSE)

Arguments

sigma	Population covariance matrix. May be standardized or unstandardized.
n	Sample size for simulated sample matrices.
k	Number of sample matrices to generate.
as_cor	Should the simulated matrices be standardized (TRUE) or unstandardized (FALSE)?

Value

A list of simulated sample matrices.

Examples

## Define a hypothetical matrix:
sigma <- reshape_vec2mat(cov = .4, order = 5)

## Simualte a list of unstandardized covariance matrices:
simulate_matrix(sigma = sigma, n = 50, k = 10, as_cor = FALSE)

## Simualte a list of correlation matrices:
simulate_matrix(sigma = sigma, n = 50, k = 10, as_cor = TRUE)

psychmeta/psychmeta documentation built on Feb. 12, 2024, 1:21 a.m.