calculateDiscreteContinuousMI_Discretise: calculate mutual information between a categorical value (X)...

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

calculate mutual information between a categorical value (X) and a continuous value (Y) using a discretisation and calculateDiscreteDiscreteMI()

Description

calculate mutual information between a categorical value (X) and a continuous value (Y) using a discretisation and calculateDiscreteDiscreteMI()

Usage

calculateDiscreteContinuousMI_Discretise(
  df,
  discreteVars,
  continuousVar,
  discretiseMethod = "ByValue",
  mutualInfoMethod = "Histogram",
  ...
)

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)
discretiseMethod	- What method will be used to discretise the data? (ByRank, ByValue, Manual)
mutualInfoMethod	- What method will be used to calculate the MI once discretised?
...	- other parameters passed onto discretisation and mutual info methods

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.