rrm: Simulate Data under a Rasch model

In psychotools: Psychometric Modeling Infrastructure

Simulate Data under a Rasch model

Description

rrm simulates IRT data under a Rasch model.

Usage

rrm(theta, beta, return_setting = TRUE)

Arguments

theta	numeric vector of person parameters. Can also be a list, then a list of length length(theta) is returned, containing multiple simulated data matrices.
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.

Value

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.

See Also

rpl, rpcm, rrsm, rgpcm

Examples

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)

psychotools documentation built on May 29, 2024, 8:12 a.m.