create VSS like data

Simulation is one of most useful techniques in statistics and psychometrics. Here we simulate a correlation matrix with a simple structure composed of a specified number of factors. Each item is assumed to have complexity one. See circ.sim and item.sim for alternative simulations.

sim.VSS(ncases=1000, nvariables=16, nfactors=4, meanloading=.5,dichot=FALSE,cut=0)

Arguments

ncases

number of simulated subjects
nvariables

Number of variables
nfactors

Number of factors to generate
meanloading

with a mean loading
dichot

dichot=FALSE give continuous variables, dichot=TRUE gives dichotomous variables
cut

if dichotomous = TRUE, then items with values > cut are assigned 1, otherwise 0.

Value

a ncases x nvariables matrix

See also

VSS, ICLUST

Examples

not_run({
  simulated <- sim.VSS(1000,20,4,.6)
  vss <- VSS(simulated,rotate="varimax")
  VSS.plot(vss)
})