mkDf.facMixedAB: Generate simulated data from a two-way mixed factorial design

In dalejbarr/simgen: Monte Carlo Simulations of Simultaneous Generalization

Description

Generates a data set corresponding to a 2-way fixed factorial design.

Usage

  mkDf.facMixedAB(mcr.params = mkParamMx.facMixedAB(genParamRanges.facMixedAB(),
  1)[1, ], nsubj = 24, nitem = NULL, nreps = NULL, showRfx = FALSE)

Arguments

mcr.params	Data-generating parameters
nsubj	Number of subjects (must be a multiple of 4)
nitem	Number of items (must be a multiple of 2, or NULL if nreps is defined)
nreps	Number of replicated observations per cell per subject (must be NULL if nitem is defined)
showRfx	Whether to show the random effects in the output

Details

If nitem is defined, then it will generate item effects as well as subject effects. If nreps is defined, will generate subject effects only.

Value

A data frame

See Also

genParamRanges.facMixedAB, randParams, mkParamMx.facMixedAB

Examples

mkDf.facMixedAB(nitem=24)
mkDf.facMixedAB(nreps=2)

dalejbarr/simgen documentation built on May 14, 2019, 3:32 p.m.