friedmanAlignedRanksPost: Friedman's Aligned Ranks post hoc raw p-values

In scmamp: Statistical Comparison of Multiple Algorithms in Multiple Problems

Description

This function computes the raw p-values for the post hoc based on Friedman's Aligned Ranks test.

Usage

friedmanAlignedRanksPost(data, control = NULL, ...)

Arguments

data	Data set (matrix or data.frame) to apply the test. The column names are taken as the groups and the values in the matrix are the samples.
control	Either the number or the name of the column for the control algorithm. If this parameter is not provided, the all vs all comparison is performed.
...	Not used.

Details

The test has been implemented according to the version in Garcia et al. (2010), pages 2051,2054

Value

A matrix with all the pairwise raw p-values (all vs. all or all vs. control).

References

S. Garcia, A. Fernandez, J. Luengo and F. Herrera (2010) Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and ata mining: Experimental analysis of power. Information Sciences, 180, 2044-2064.

Examples

data(data_gh_2008)
friedmanAlignedRanksPost(data.gh.2008)
friedmanAlignedRanksPost(data.gh.2008, control=1)

Example output

                   C4.5   k-NN(k=1)   NaiveBayes       Kernel          CN2
C4.5                 NA 0.001174850 3.341698e-01 2.843421e-10 1.845167e-02
k-NN(k=1)  1.174850e-03          NA 2.265711e-02 2.197407e-03 3.742777e-01
NaiveBayes 3.341698e-01 0.022657106           NA 9.226472e-08 1.643229e-01
Kernel     2.843421e-10 0.002197407 9.226472e-08           NA 7.793722e-05
CN2        1.845167e-02 0.374277740 1.643229e-01 7.793722e-05           NA
     C4.5  k-NN(k=1) NaiveBayes       Kernel        CN2
[1,]   NA 0.00117485  0.3341698 2.843421e-10 0.01845167

scmamp documentation built on May 1, 2019, 10:10 p.m.