kmvalidate: Validate a knowledge structure against a data set
Description
kmvalidate returns a list with three elements,
a named vector (dist) with the frequencies of distances
between a set of response patterns and a knowledge structure, the
Discrepancy Index (DI), and the Distance Agreement Coefficient (DA).
Usage
kmvalidate(data, struct)
Value
A list with three elements:
dist
Distance distribution vector
DI
Discrepancy Index
DA
Distance Agreement Coefficient
Arguments
data
Binary matrix representing a set of response patterns
struct
Binary matrix representing a knowledge structure
Warning
The DA computation can take quite some time for larger item sets as the
power set has to be computed. For item sets with around 30 items or more,
it may even crash the system due to huge memory requests.
See Also
Other Validating knowledge spaces:
kmSRvalidate(),
kmdist()