calculateDiscreteContinuousPointwiseConditionalEntropy_Kernel: calculate pointwise mutual information between a categorical...

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

calculate pointwise mutual information between a categorical value (X) and a continuous value (Y). I.e. the self information of X conditioned on each of the possible values for X

Description

calculate pointwise mutual information between a categorical value (X) and a continuous value (Y). I.e. the self information of X conditioned on each of the possible values for X

Usage

calculateDiscreteContinuousPointwiseConditionalEntropy_Kernel(
  df,
  discreteVars,
  continuousVar,
  collect = FALSE,
  ...
)

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)
collect	- if TRUE will collect dbplyr tables before processing, otherwise (the default) will fail on dbplyr tables

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.