total_correlation {msu} | R Documentation |
Estimation of total correlation for a set of categorical random variables.
Description
Total Correlation is a generalization of information gain
(IG
) to measure the dependency of
a set of categorical random variables (see
https://en.wikipedia.org/wiki/Total_correlation).
Usage
total_correlation(table_variables, table_class)
C(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
Total correlation estimation for the variable set
table.variables
, table.class
.
Examples
total_correlation(list(factor(c(0,1)), factor(c(1,0))), factor(c(0,0)))
total_correlation(list(factor(c('a','b')), factor(c('a','b'))),
factor(c('a','b')))
## Not run:
total_correlation(list(factor(c(0,1)), factor(c(1,0))), c(0,0))
total_correlation(c(factor(c(0,1)), factor(c(1,0))), c(0,0))
## End(Not run)
[Package msu version 0.0.1 Index]