On Fri, 9 Nov 2007, Denis Aydin wrote: > Hi, > > I want to analyse a contigency table (3 x 12) with a fisher.test > beacause there are cells that are less than 5.
...expected cells. Anyways, your data set yields a statistic > 160 and I wouldn't worry that this could be the result of random variation under the null hypothesis. Also looking at the data, e.g., via a spineplot() of the (transposed) table would clearly indicate a deviation from the null hypothesis. > Ämmen Anken Baf Belchen Höchi Hof Porti Räm Schmutz Schön Sissa Tann > class14 7 26 150 2 46 68 126 66 3 31 7 61 > class24 7 6 55 5 49 71 93 90 1 18 16 79 > class34 1 1 4 3 19 8 29 61 4 4 5 37 > > So in made a matrix and used > > >fisher.test(classtable4). > > But then this error occurs: > > Fehler in fisher.test(classtable4) : FEXACT error 7. > LDSTP is too small for this problem. > Try increasing the size of the workspace. > > Well I then increased the workspace: > > >fisher.test(classtable4, workspace=1e8) > > But then the same error occurs. You don't really want/need the exact distribution... > Do someone knows an alternative to the fisher.test or the chisq.test? Both functions have an argument simulate.p.value which you could set to TRUE, possibly increasing B (the number of replications). Even with a million replications (under independence) I did not obtain a single one that was larger than the observed statistic. So I think it is pretty safe to reject independence... hth, Z ______________________________________________ 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.
