Kruskal Wallis statistics calculation for equal data 1.0

% Kruskal_Wallis% This is a statistical test to check two datasets if are different.% Kruskal_Wallis is similar to one way ANOVA but the data is not expected% to be natrual distribution. It works with any breaked condition of the% ANOVA.%% As a reminder, the assumptions of the one-way ANOVA for independent samples are% that the scale on which the dependent variable is measured has the properties of an equal interval scale;T% that the k samples are independently and randomly drawn from the source population(s);T% that the source population(s) can be reasonably supposed to have a normal distribution; andT% that the k samples have approximately equal variances.%% We noted in the main body of Chapter 14 that we need not worry very much about the first, third, and fourth of these assumptions% when the samples are all the same size. For in that case the analysis of variance is quite robust, by which we mean relatively% unperturbed by the violation of its assumptions. But of course, the other side of the coin is that when the samples are not all% the same size, we do need to worry. In this case, should one or more of assumptions 1, 3, and 4 fail to be met, an appropriate% non-parametric alternative to the one-way independent-samples ANOVA can be found in the Kruskal-Wallis Test.%% see http://faculty.vassar.edu/lowry/ch14a.html%% Assumption used in the programming of this code is thatb oth data sets are equal

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Analysis,  Fourth,  Normal,  Variance,  Worry
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