http://en.wikipedia.org/wiki/Kendall%27s_Whttp://faculty.chass.ncsu.edu/garson/PA765/friedman.htmSuppose that object i is given the rank ri,j by judge number j, where there are in total n objects and m judges. Then the total rank given to object i is
Ri = sum Rij
and the mean value of these total ranks is
Rbar = 1/2 m (n + 1)
The sum of squared deviations, S, is defined as
S=sum1-n (Ri - Rbar)
and then Kendall's W is defined as[1]
W= 12S / m^2(n^3-n)
If the test statistic W is 1, then all the survey respondents have been unanimous, and each respondent has assigned the same order to the list of concerns. If W is 0, then there is no overall trend of agreement among the respondents, and their responses may be regarded as essentially random. Intermediate values of W indicate a greater or lesser degree of unanimity among the various responses.
Legendre[2] discusses a variant of the W statistic which accommodates ties in the rankings and also describes methods of making significance tests based on W.
[{:observation [1 2 3]} {} ... {}] -> W
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