Suku, It looks like you might want to consult with a [bio]statistician, but I'm interested in what these distances represent. Can you give some additional context for your problem? How were these distances collected? Is it a collection of pairs of intervals, like this:
P Q 1) (1.5, 1.8) (1.2, 2.0) 2) (1.4, 1.9) (1.4, 2.3) ... 10000) (start1, end1) (start2, end2) ? If so, is there a more specific test you're interested in? For instance, whether the interval P overlaps with the start/stop position of interval Q, or whether start1 == start2, or end1 == end2, or both? I can think of a bootstrap test for hypotheses like this, and this is relatively easy in R. -Matt On Thu, 2010-07-01 at 07:53 -0400, ravikumar sukumar wrote: > Dear all, > I am a biologist. I have two sets of distance P(start1, end1) and Q(start2, > end2). > The distance will be like this. > P ------------------------ > Q ---------------------------------------- > > I want to know whether P falls closely to the right end or left end of Q. > P and Q are of different lengths for each data point. There are more than > 10000 pairs of P and Q. > Is there any test or function in R to bring a statistically significant > conclusion. > > Thanks for all, > Suku > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > 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. -- Matthew S. Shotwell Graduate Student Division of Biostatistics and Epidemiology Medical University of South Carolina http://biostatmatt.com ______________________________________________ R-help@r-project.org mailing list 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.