simulate_dataMBH: simulate_dataMBH

In susanjarvis501/MBH: Model-based hypervolumes

Description

This simulates multivariate data to fit model based hypervolumes

Usage

simulate_dataMBH(nobs = 10, ndims = 3, ngroups = 4, sdgrp = 2,
  sdobs = NULL, variances = "fixed", vardiff = 0.5, means = rep(0,
  ndims), returntruecov = FALSE)

Arguments

nobs	Number of observations to simulate per group
ndims	Number of variables to simulate
ngroups	Number of groups to simulate
sdgrp	Standard deviation of group means
sdobs	Standard deviation of observations within groups. Either a single value or vector with length equal to ndims. If NULL (default) a vector of length equal to ndims is generated from a Uniform distribution with bounds 1 and 10. Note that if sdobs = NULL the vector generated is on the variance scale, if sdobs is provided then it should be a standard deviation
variances	Either "fixed" to constrain within-group variances to be the same (the default), or "variable" so within-group variances can vary
vardiff	Standard deviation of within-group variance differences
means	Means of each variable to simulate
returntruecov	Logical. Return true covariance matrix as well as data? Defaults to FALSE

Value

data - simulated data

(optional) truecov - covariance matrix used to simulate data

susanjarvis501/MBH documentation built on Aug. 27, 2020, 7:37 a.m.