orderingDependency: Ordering-based dependency measure

In janusza/RmRMR: Feature Subset Selection Using the mRMR Approach

Description

A function for measuring ordering dependency between two vectors (the ordering measure).

Usage

orderingDependency(attrVec, target, numericTarget = NULL, ...)

Arguments

attrVec, target	two numeric attributes or an attribute and a decision vector (not necessarily ordered). At least the first argument has to be numeric.
numericTarget	logical indicating whether the target is ordered and numeric. The default is NULL in which case the function makes a guess using a simple heuristic.
...	optional arguments (currently omitted).

Value

a numeric value expressing ordering dependency between attrVec and target

Author(s)

Andrzej Janusz

References

Andrzej Janusz and Marek Grzegorowski. Efficient Attribute Quality Assessment Using a Decision Ordering Measure. 2017.

Examples

#############################################
data(methaneSampleData)

## an experiment on a sample from the data used in a data mining competition - 
## IJCRS'15 Data Challenge: Mining Data from Coal Mines 
## (https://knowledgepit.fedcsis.org/contest/view.php?id=109).
## The whole data set can be downloaded from the competition web page.

mrmrAttrs = mRMRfs(dataT = methaneData$methaneTraining,
                   target = methaneData$methaneTrainingLabels[, V2],
                   dependencyF = orderingDependency)

mrmrAttrs

janusza/RmRMR documentation built on May 18, 2019, 2:39 p.m.