mkDf: Return a dataframe with simulated data given a set of...

In dmbates/RePsychLing: Data sets from Psychology and Linguistics experiments

Description

Create simulated data given a row of parameters and the no. of subjects and items

Usage

mkDf(nsubj = 24L, nitem = 24L, wsbi = FALSE,
  mcr.params = createParamMx(1L, firstseed = sample.int(1000000L, 1L))[1L, ],
  missMeth = c("random", "none", "randomBig", "bycond", "bysubj",
  "bysubjcond"), rigen = FALSE)

Arguments

nsubj	number of subjects (default is 24)
nitem	number of items (default is 24)
wsbi	logical, is design between items (TRUE) or within items (default FALSE).
mcr.params	vector of parameters for generation of data (see createParamMx)
missMeth	method of generating missing data (default "random")
rigen	logical, use a random-intercepts-only generative model (default FALSE)

Value

a data frame of simulated data

dmbates/RePsychLing documentation built on May 15, 2019, 9:19 a.m.