Anyone here who knows "information" has given the output given below to everyone.
R Code:
& gt; C & lt; -C (1,2,3,4)> Description (c) cn unique unknown ** info ** MI 3.05.10 .25 .50 .75 200 0 100 1 50.5 5.95 10.90 25.75 50.50 75.25.990 9.95 90.10 95.05 From:
For numerical variables, the description is an IIT, which is a relative information measurement Using relative efficiency of proportional odds / Wilcoxon test, there is no relation between the relative variable of the same test on that variable. The information relates to how constant the variable is, and the relationships are less harmful and there are inherent value. The formula for information is less than a fraction of cubes of relative frequencies relative to zero, a reduced square of reciprocal of sample size. The least information is from a highly variable variable due to the extreme binary variables. Information is made at two decimal places.
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