1.2.3-SNAPSHOT
permalink

- (kendalls-w)

http://en.wikipedia.org/wiki/Kendall%27s_W

http://faculty.chass.ncsu.edu/garson/PA765/friedman.htm

Suppose 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

© incanter
See http://incanter.org for copyright and license details.

(defn kendalls-w " http://en.wikipedia.org/wiki/Kendall%27s_W http://faculty.chass.ncsu.edu/garson/PA765/friedman.htm Suppose 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 " [])

© incanter
See http://incanter.org for copyright and license details.

Vars in incanter.stats/kendalls-w:
defn

Used in 0 other vars

## Comments top

## No comments for

kendalls-w. Log in to add a comment.