Simulate Data under a Rasch model
rrm simulates IRT data under a Rasch model.
rrm(theta, beta, return_setting = TRUE)
theta |
numeric vector of person parameters. Can also be a list, then a
list of length |
beta |
numeric vector of item difficulty parameters. |
return_setting |
logical. Should a list containing slots of "beta", and "theta", as well as the simulated data matrix "data" be returned (default) or only the simulated data matrix. |
rrm returns either a list of the following components:
beta |
numeric vector of item difficulty parameters used, |
theta |
numeric vector of person parameters used, |
data |
numeric matrix containing the simulated data, |
or (if return_setting = FALSE) only the numeric matrix containing the
simulated data.
set.seed(1) ## item responses under a Rasch model from ## 6 persons with three different person parameters ## 9 increasingly difficult items ppar <- rep(-1:1, each = 2) ipar <- seq(-2, 2, by = 0.5) sim <- rrm(theta = ppar, beta = ipar) ## simulated item response data along with setting parameters sim ## print and plot corresponding item response object iresp <- itemresp(sim$data) iresp plot(iresp)
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