sim.VSS | 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)
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