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
                     |