Hi, Sure, you could do a qqplot for each variable between two datasets. In a 2d graph, it will be hard to reasonably compare more than 2 datasets (you can put many such graphs on a single page, but it would be pairwise sets of comparisons, I think. Perhaps you could plots multiple qqplots on top of each other varying the points by colour for the different data sets?
I have not seen anything like this before, so I suppose it depends what helps you understand your data. Cheers, Josh On Sat, Jul 7, 2012 at 3:25 PM, Atulkakrana <atulkakr...@gmail.com> wrote: > Hello Joshua, > > Thanks for taking time out to help me with problem. Actually the comparison > is to be done among two (if possible, more than two) datasets and not within > the dataset. Each dataset hold 5 variables (i.e Red, Purple, Blue, Grey and > Yellow) for 21 different positions i.e 1-21n. So, we have 5 values for each > position (total 21) that make a single dataset or stacked histogram (Plot in > original post). > > Initially I was comparing datasets by plotting stacked histograms for each > and analyzing them visually. But that doesn't give a statistical idea of how > similar or different the datasets are. Therefore, I want to evaluate the > datasets in order to quantify their difference/similarity. So, end result > would be a plot showing similarity/difference among two or more datasets. > > Example datasets: http://pastebin.com/iYj1RNvt > > Does the method you explained can be applied to multiple datasets? Can a > qqplot be obtained in such a case? > > Awaiting your reply > > Thanks > > Atul > > > -- > View this message in context: > http://r.789695.n4.nabble.com/How-to-compare-stacked-histograms-datasets-tp4635668p4635744.html > Sent from the R help mailing list archive at Nabble.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. -- Joshua Wiley Ph.D. Student, Health Psychology Programmer Analyst II, Statistical Consulting Group University of California, Los Angeles https://joshuawiley.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.