kmgenerate: Generate a knowledge structure from a set of response...

In kstMatrix: Basic Functions in Knowledge Space Theory Using Matrix Representation

Generate a knowledge structure from a set of response patterns

Description

kmgenerate returns a matrix representing a knowledge structure generated from data. It uses a simplistic approach: patterns with a frequency above a specified threshold are considered as knowledge states. If the specified threshold is 0 (default) a real threshold is computed as N (number of response patterns) divided by 2^|Q|. Please note that the number of response patterns should be much higher than the size of the power set of the item set Q. A factor of art least 10 is recommended. Currently, the number of items is limited to the number of bits in a C long minus one (i.e. 31 under Windows and 63 otherwise). But we would probably run into memory problems way earlier anyway.

Usage

kmgenerate(x, threshold = 0)

Arguments

x	Binary matrix representing a data set
threshold	Threshold for taking response patterns as knowledge states (default 0)

Value

Binary matrix representing the generated knowledge structure

Examples

kmgenerate(xpl$sim, 15)

kstMatrix documentation built on April 4, 2025, 2:16 a.m.