sim.VSS: create VSS like data

In frenchja/psych: Procedures for Psychological, Psychometric, and Personality Research

Description

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.

Usage

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

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)

frenchja/psych documentation built on May 16, 2019, 2:49 p.m.