Hello All, I have a couple of stacked histograms which I need to compare/evaluate for similarity or difference. http://r.789695.n4.nabble.com/file/n4635668/Selection_011.png
I believe rather than evaluating histograms is will be east to work with dataset used to plot these stacked histograms, which is in format: RED PURPLE BLUE GREY YELLOW 22.0640569395 16.9483985765 0 60.987544484 0 8.1850533808 8.8523131673 0 82.962633452 0 6.8505338078 6.8950177936 0.756227758 85.4982206406 0.5338078292 6.7615658363 5.2491103203 1.6459074733 86.3434163701 0.6672597865 5.8274021352 7.384341637 2.1352313167 84.653024911 1.1565836299 7.8736654804 6.628113879 1.5569395018 83.9412811388 1.2010676157 7.1619217082 8.1850533808 1.2455516014 83.4074733096 1.3790035587 5.5604982206 10.2758007117 1.0676156584 83.0960854093 1.0231316726 7.1174377224 7.6067615658 0.7117437722 84.5640569395 0.756227758 7.8736654804 3.9590747331 0.6672597865 87.5 0.3113879004 7.6512455516 7.8736654804 0.5338078292 83.9412811388 0.5338078292 7.6067615658 8.9857651246 1.4679715302 81.9395017794 0.3558718861 8.9412811388 8.0071174377 1.3790035587 81.6725978648 0.5782918149 19.0836298932 9.2081850534 2.1352313167 69.5729537367 1.3790035587 14.9911032028 11.0765124555 3.2028469751 70.7295373665 1.0676156584 15.3914590747 10.8985765125 3.024911032 70.6850533808 1.2900355872 17.4822064057 12.5444839858 2.4911032028 67.4822064057 1.334519573 15.8362989324 13.0338078292 2.0017793594 69.128113879 1.334519573 17.037366548 10.4537366548 2.4021352313 70.1067615658 1.2010676157 20.2846975089 10.0088967972 0 69.706405694 1.0676156584 28.7366548043 12.6334519573 0 58.6298932384 0 Is there any possible way I can compare such dataset from multiple experiments (n=8) and visually show (plot) that these datasets are in consensus or differ from each other? Awaiting reply, Atul -- View this message in context: http://r.789695.n4.nabble.com/How-to-compare-stacked-histograms-datasets-tp4635668.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.
