sim.VSS {psych} | R Documentation

## create VSS like data

### 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)

[Package psych version 1.6.9 Index]