[R] How to compare stacked histograms/datasets

Atulkakrana atulkakrana at gmail.com
Fri Jul 6 22:55:39 CEST 2012


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


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