friedman
Performs the nonparametric Friedman’s test to compare column effects in a
two-way layout. friedman tests the null hypothesis that the column
effects are all the same against the alternative that they are not all the
same.
friedman requires one up to three input arguments:
friedman returns up to three output arguments:
If friedman is called without any output arguments, then it prints the results in a one-way ANOVA table to the standard output as if displayopt is ’on’.
Examples:
load popcorn; friedman (popcorn, 3); |
[p, anovatab, stats] = friedman (popcorn, 3, "off"); disp (p); |
See also: anova2, kruskalwallis, multcompare
Source Code: friedman
load popcorn;
friedman (popcorn, 3);
Friedman's ANOVA Table
Source SS df MS Chi-sq Prob>Chi-sq
---------------------------------------------------------------
Columns 99.7500 2 49.8750 13.76 0.0010
Interaction 0.0833 2 0.0417
Error 16.1667 12 1.3472
Total 116.0000 17
|
load popcorn;
[p, atab] = friedman (popcorn, 3, "off");
disp (p);
1.0289e-03
|