SpearmanHeuristic {D2MCS} | R Documentation |
Feature-clustering based on Spearman Correlation Test.
Description
Performs the feature-clustering using Spearman's rho statistic.
Details
Spearman's rho statistic is to estimate a rank-based measure of association. These tests may be used if the data do not necessarily come from a bivariate normal distribution.
Super class
D2MCS::GenericHeuristic
-> SpearmanHeuristic
Methods
Public methods
Method new()
Creates a SpearmanHeuristic object.
Usage
SpearmanHeuristic$new()
Method heuristic()
Test for correlation between paired samples using Spearman rho statistic.
Usage
SpearmanHeuristic$heuristic(col1, col2, column.names = NULL)
Arguments
Returns
A numeric vector of length 1 or NA if an error occurs.
Method clone()
The objects of this class are cloneable with this method.
Usage
SpearmanHeuristic$clone(deep = FALSE)
Arguments
deep
Whether to make a deep clone.
See Also
[Package D2MCS version 1.0.1 Index]