Description Usage Arguments Value Author(s) See Also Examples
Generate a sample from the \mathbf{α}_c = (α_{c1}, …, α_{cK})' attribute profile matrix for members of class c such that α_{ck} ' is 1 if members of class c possess skill k and zero otherwise.
1 | sim_subject_attributes(N, K, probs = NULL)
|
N |
Number of Observations |
K |
Number of Skills |
probs |
A |
A N by K matrix
of latent classes
corresponding to entry c of pi based upon
mastery and nonmastery of the K skills.
James Joseph Balamuta and Steven Andrew Culpepper
simcdm::attribute_classes()
and simcdm::attribute_inv_bijection()
1 2 3 4 5 6 7 8 9 10 11 12 | # Define number of subjects and attributes
N = 100
K = 3
# Generate a sample from the Latent Attribute Profile (Alpha) Matrix
# By default, we sample from a uniform distribution weighting of classes.
alphas_builtin = sim_subject_attributes(N, K)
# Generate a sample using custom probabilities from the
# Latent Attribute Profile (Alpha) Matrix
probs = rep(1 / (2 ^ K), 2 ^ K)
alphas_custom = sim_subject_attributes(N, K, probs)
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