kmdist: Compute the distance between a data set and a knowledge...
In kstMatrix: Basic Functions in Knowledge Space Theory Using Matrix Representation
kmdist R Documentation
Compute the distance between a data set and a knowledge structure
Description
kmdist returns a named vector with the frequencies of distances
between a set of response patterns and a knowledge structure. This vector
can be used to compute, e.g., the Discrepancy Index (DI) or the
Distance Agreement Coefficient (DA).
Usage
kmdist(data, struct)
Arguments
data
Binary matrix representing a set of response patterns
struct
Binary matrix representing a knowledge structure
Value
Distance distribution vector
See Also
Other Validating knowledge spaces:
kmvalidate()
Examples
kmdist(xpl$data, xpl$space)
kstMatrix documentation built on Oct. 4, 2024, 1:08 a.m.
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| kmdist | R Documentation |
Compute the distance between a data set and a knowledge structure
Description
kmdist returns a named vector with the frequencies of distances
between a set of response patterns and a knowledge structure. This vector
can be used to compute, e.g., the Discrepancy Index (DI) or the
Distance Agreement Coefficient (DA).
Usage
kmdist(data, struct)
Arguments
data |
Binary matrix representing a set of response patterns |
struct |
Binary matrix representing a knowledge structure |
Value
Distance distribution vector
See Also
Other Validating knowledge spaces:
kmvalidate()
Examples
kmdist(xpl$data, xpl$space)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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