Boris: You may be right, but it seems like esp to me based on the op's non-description of likelihood of coming from the same noisy process. My response would be: seek local statistical help, as your replies indicate a good deal of statistical confusion.
Cheers, Bert On Thursday, August 6, 2015, Boris Steipe <boris.ste...@utoronto.ca> wrote: > You are looking for what is known as the "Cayley distance" between vectors > - an edit distance that allows only transpositions. RSeek mentions > PerMallows ( > https://cran.r-project.org/web/packages/PerMallows/PerMallows.pdf) and > Rankluster ( > https://cran.r-project.org/web/packages/Rankcluster/Rankcluster.pdf) as > packages that support work with Cayley distances. It seems to me that > distCayley() in Rankcluster does what you want. From the examples: > > x=1:5 > y=c(2,3,1,4,5) > distCayley(x,y) > 8 > > > Cheers, > Boris > > > > > > On Aug 6, 2015, at 9:51 AM, Federico Calboli <federico.calb...@helsinki.fi > <javascript:;>> wrote: > > >> > >> On 6 Aug 2015, at 15:40, Bert Gunter <bgunter.4...@gmail.com > <javascript:;>> wrote: > >> > >> Define "goodness of match" . For exact matches, see ?"==" , all.equal, > etc. > > > > Fair point. I would define it as a number that tells me how likely it > is that the same (noisy) process produced both lists. > > > > BW > > > > F > > > > > > > > > >> > >> Bert > >> > >> On Thursday, August 6, 2015, Federico Calboli < > federico.calb...@helsinki.fi <javascript:;>> wrote: > >> Hi All, > >> > >> let’s assume I have a vector of letters drawn only once from the > alphabet: > >> > >> x = sample(letters, 15, replace = F) > >> x > >> [1] "z" "t" "g" "l" "u" "d" "w" "x" "a" "q" "k" "j" "f" "n" “v" > >> > >> y = x[c(1:7,9:8, 10:12, 14, 15, 13)] > >> > >> I would now like to test how good a match y is for x. Obviously I can > transform the letters in numbers and use a rank test, but I was left > wondering whether this is the only solution and whether there are more > appropriate solutions that are already implemented in R (I am not going to > reinvent the wheel if I can avoid it). > >> > >> BW > >> > >> F > >> > >> > >> -- > >> Federico Calboli > >> Ecological Genetics Research Unit > >> Department of Biosciences > >> PO Box 65 (Biocenter 3, Viikinkaari 1) > >> FIN-00014 University of Helsinki > >> Finland > >> > >> federico.calb...@helsinki.fi <javascript:;> > >> > >> ______________________________________________ > >> R-help@r-project.org <javascript:;> 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. > >> > >> > >> -- > >> Bert Gunter > >> > >> "Data is not information. Information is not knowledge. And knowledge > is certainly not wisdom." > >> -- Clifford Stoll > >> > > > > > > -- > > Federico Calboli > > Ecological Genetics Research Unit > > Department of Biosciences > > PO Box 65 (Biocenter 3, Viikinkaari 1) > > FIN-00014 University of Helsinki > > Finland > > > > federico.calb...@helsinki.fi <javascript:;> > > > > ______________________________________________ > > R-help@r-project.org <javascript:;> 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 <javascript:;> 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. > -- Bert Gunter "Data is not information. Information is not knowledge. And knowledge is certainly not wisdom." -- Clifford Stoll [[alternative HTML version deleted]] ______________________________________________ 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.