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...e majority of unique rows on one hand and all duplicated rows on the other: With subset(obs, a %in% a[duplicated(a)]) and !a respectively this works fine for single column comparison. This must be also possible for two column comparison, but I can`t get it. Thanks Florian -- Dr. Florian Jansen Geobotany & Nature Conservation Institute for Botany and Landscape Ecology Ernst-Moritz-Arndt-University Grimmer Str. 88 17487 Greifswald - Germany +49 (0)3834 86 4147

...2])] <- 1 } m[is.na(m)] <- 0 Now I'm trying to prevent the loop, because it take ages for a list of 20000 entries, but I run out of ideas. Should I inflate my list beforehand and how? Can I adress the dataframe fields more effieciently? Thanks for your help. -- Dr. Florian Jansen Geobotany & Nature Conservation Institute of Botany and Landscape Ecology Ernst-Moritz-Arndt-University Grimmer Str. 88 17487 Greifswald Germany +49 (0)3834 86 4147

...est (if available). I need to find out, which of my sample-groups differ significantly from each other... If not, is there any other approach to achieve the desired information? Thanks in advance and have a nice day Allan -- Allan Buras Dipl.-Geograph & PhD-student Landscape ecology and geobotany University of Greifswald, Germany Tel.: 03834 864182