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Easy Friedman Test

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This is a useful function for comparing algorithms or treatments.

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The function takes a 3-dimensional table with results from different methods,
instances and replicates and returns a 2-dimensional table for the
friedman test. Addicionally, it will ask if you want to run the test and
compare the results.

results : 3-dimensional matrix in the format:
(method_number, instance_number, replicate_number)
optional inputs:
display : boolean used to decide if you want to already perform the test
isreplicate : treats multiple runs as replication (1) or repetition (2)
names : cell variable with method names

friedman_table : 2-dimensional table in the format for the friedman test
(block, method)

% Generating the data
for i=1:methods
for j=1:instances
for k=1:replicates
if i == 1
fos(i,j,k) = genetic_algorithm(problem);
elseif i == 2
fos(i,j,k) = local_search(problem);
% Comparing the methods and getting the table
friedman_table = fos2friedman(fos);
friedman_table = fos2friedman(fos,0);
friedman_table = fos2friedman(fos,1);

Comments and Ratings (1)


is that could be used instead of ANOVA with repeated measure when the distribution is not normal?


Additional input options.

MATLAB Release Compatibility
Created with R2011a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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