The function takes a two way table. Assuming your example involves two ordinal vectors c(1,2,3,4,5) and c(3,4,1,2,5), you need:
> xy <- table(c(1,2,3,4,5),c(3,4,1,2,5)) > xy 1 2 3 4 5 1 0 0 1 0 0 2 0 0 0 1 0 3 1 0 0 0 0 4 0 1 0 0 0 5 0 0 0 0 1 > cd <- ConDisPairs(xy) > cd $pi.c [,1] [,2] [,3] [,4] [,5] [1,] 3 2 2 1 0 [2,] 2 1 1 2 1 [3,] 2 1 1 2 2 [4,] 1 2 2 3 3 [5,] 0 1 2 3 4 $pi.d [,1] [,2] [,3] [,4] [,5] [1,] 0 1 2 2 3 [2,] 1 2 2 2 2 [3,] 2 2 2 1 1 [4,] 2 2 1 0 0 [5,] 3 2 1 0 0 $C [1] 6 $D [1] 4 Where C is the number of concordant pairs and D is the number of discordant pairs. Kendall's tau distance is the number of discordant pairs = 4 and the normalized tau is 4/(5*(5-1)/2) = .4. $pi.c and $pi.d are used to compute C and D as follows: > sum((xy * cd$pi.c))/2 [1] 6 > sum((xy * cd$pi.d))/2 [1] 4 David L. Carlson Department of Anthropology Texas A&M University -----Original Message----- From: Ragia Ibrahim [mailto:ragi...@hotmail.com] Sent: Saturday, September 12, 2015 4:21 AM To: David L Carlson <dcarl...@tamu.edu>; r-help@r-project.org Subject: RE: [R] kendall tau distance many thanks for replying. I have the vectors running the code ConDisPairs( data.frame(c(1,2,3,4,5),c(3,4,1,2,5)) ) $pi.c [,1] [,2] [1,] 12 0 [2,] 8 1 [3,] 7 3 [4,] 5 6 [5,] 0 10 $pi.d [,1] [,2] [1,] 0 14 [2,] 3 12 [3,] 7 9 [4,] 8 5 [5,] 10 0 $C [1] 69 $D [1] 109 I could not find the result related to the result at wiki page in any way..looking for 4 ? dissimilar pairs? many thanks ---------------------------------------- > From: dcarl...@tamu.edu > To: ragi...@hotmail.com; r-help@r-project.org > Subject: RE: [R] kendall tau distance > Date: Fri, 11 Sep 2015 15:37:19 +0000 > > The Wikipedia article gives a simple formula based on the number of > discordant pairs. You can get that from the ConDisPairs() function in package > DescTools. > > ------------------------------------- > David L Carlson > Department of Anthropology > Texas A&M University > College Station, TX 77840-4352 > > -----Original Message----- > From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Ragia Ibrahim > Sent: Thursday, September 10, 2015 12:40 PM > To: r-help@r-project.org > Subject: [R] kendall tau distance > > Dear group > how to calculate kendall tau distance according to Kendall_tau_distance at > wikipedia > > <a > href="https://en.wikipedia.org/wiki/Kendall_tau_distance" > target="_blank" > class="newlyinsertedlink">https://en.wikipedia.org/wiki/Kendall_tau_distance</a> > > > thanks in advance > Ragia > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.