sim.VSS function

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.

Returns

a ncases x nvariables matrix

Author(s)

William Revelle

See Also

VSS, ICLUST

Examples

## Not run:

simulated <- sim.VSS(1000,20,4,.6)
vss <- VSS(simulated,rotate="varimax")
VSS.plot(vss)
## End(Not run)