rpf (version 0.49)

rpf.sample: Randomly sample response patterns given a list of items

Description

Returns a random sample of response patterns given a list of item models and parameters. If grp is given then theta, items, params, mean, and cov can be omitted.

Usage

rpf.sample(theta, items, params, ..., prefix = "i", mean = NULL,
  cov = NULL, mcar = 0, grp = NULL)

Arguments

theta

either a vector (for 1 dimension) or a matrix (for >1 dimension) of person abilities or the number of response patterns to generate randomly

items

a list of item models

params

a list or matrix of item parameters. If omitted, random item parameters are generated for each item model.

...

Not used. Forces remaining arguments to be specified by name.

prefix

Column names are taken from param or items. If no column names are available, some will be generated using the given prefix.

mean

mean vector of latent distribution (optional)

cov

covariance matrix of latent distribution (optional)

mcar

proportion of generated data to set to NA (missing completely at random)

grp

a list with spec, param, mean, and cov

Value

• Returns a data frame of response patterns

See Also

sample

Examples

# 1 dimensional items
i1 <- rpf.drm()
i1.p <- rpf.rparam(i1)
i2 <- rpf.nrm(outcomes=3)
i2.p <- rpf.rparam(i2)
rpf.sample(5, list(i1,i2), list(i1.p, i2.p))