| sim.VSS {psych} | R Documentation | 
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)
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.  | 
a ncases x nvariables matrix
William Revelle
VSS, ICLUST 
## Not run: 
simulated <- sim.VSS(1000,20,4,.6)
vss <- VSS(simulated,rotate="varimax")
VSS.plot(vss)
## End(Not run)