calculateDiscreteContinuousPointwiseConditionalEntropy: calculate a pointwise mutual information between a...

In terminological/tidy-info-stats: Functions for manipulating information statistics

calculate a pointwise mutual information between a categorical value (X) and a continuous value (Y)

Description

calculate a pointwise mutual information between a categorical value (X) and a continuous value (Y)

Usage

calculateDiscreteContinuousPointwiseConditionalEntropy(
  df,
  discreteVars,
  continuousVar,
  method = "KWindow",
  ...
)

Arguments

df	- may be grouped, in which case the value is interpreted as different types of continuous variable
discreteVars	- the column(s) of the categorical value (X) quoted by vars(...)
continuousVar	- the column of the continuous value (Y)
method	- the method employed - valid options are "KWindow","KNN","Kernel","Quantile"
...	- the other parameters are passed onto the implementations

Value

a dataframe containing the disctinct values of the groups of df, and for each group a mutual information column (I). If df was not grouped this will be a single entry

terminological/tidy-info-stats documentation built on Nov. 19, 2022, 11:23 p.m.