multivar_joint_shannon_entropy: Estimation of joint Shannon entropy for a set of categorical...
In eliasmacielr/msu: Multivariate Symmetric Uncertainty and Other Measurements
Description
Usage
Arguments
Value
See Also
Examples
Description
The multivariate joint Shannon entropy provides an estimation of
the measure of the uncertainty associated with a set of variables (see
https://en.wikipedia.org/wiki/Joint_entropy).
Usage
1
2
3
multivar_joint_shannon_entropy(table_variables, table_class)
multivar_joint_H(table_variables, table_class)
Arguments
table_variables
A list of factors as categorical variables.
table_class
A factor representing the class of the case.
Value
Joint Shannon entropy estimation for the variable set
table.variables, table.class.
See Also
shannon_entropy for the entropy for a
single variable and
joint_shannon_entropy for the entropy
associated with two random variables.
Examples
1
2
eliasmacielr/msu documentation built on May 21, 2019, 3:03 a.m.
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Description Usage Arguments Value See Also Examples
Description
The multivariate joint Shannon entropy provides an estimation of the measure of the uncertainty associated with a set of variables (see https://en.wikipedia.org/wiki/Joint_entropy).
Usage
1 2 3 | multivar_joint_shannon_entropy(table_variables, table_class)
multivar_joint_H(table_variables, table_class)
|
Arguments
table_variables |
A list of factors as categorical variables. |
table_class |
A factor representing the class of the case. |
Value
Joint Shannon entropy estimation for the variable set
table.variables, table.class.
See Also
shannon_entropy for the entropy for a
single variable and
joint_shannon_entropy for the entropy
associated with two random variables.
Examples
1 2 |
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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