Error Bars Matlab Histogram
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Exchange Cody Blogs Newsreader Link Exchange ThingSpeak Anniversary Home Post A New Message Advanced Search matlab histogram normalization Help Trial software bar chart with error bars Subject: bar chart with error bars From: Kevin Murphy Date: 8 May, 2000 18:39:14 matlab 2d histogram Message: 1 of 13 Reply to this message Add author to My Watch List View original format Flag as spam Does anyone know how to add error bars to a bar chart? Kevin Subject: bar chart with
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error bars From: John Williams Date: 9 May, 2000 12:04:40 Message: 2 of 13 Reply to this message Add author to My Watch List View original format Flag as spam Kevin Murphy wrote: > > Does anyone know how to add error bars to a bar chart? with the ERRORBAR command perhaps? or are you looking for something different to what that provides? Still, it should give you a starting point. John Subject: bar chart
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with error bars From: Kevin Murphy Date: 8 May, 2000 19:59:14 Message: 3 of 13 Reply to this message Add author to My Watch List View original format Flag as spam I call 'bar' on a matrix, so it gives me clusters of vertical bars like this * * * ** * ** ** I want to superimpose vertical error bars on these... Subject: bar chart with error bars From: John Williams Date: 9 May, 2000 16:14:08 Message: 4 of 13 Reply to this message Add author to My Watch List View original format Flag as spam Kevin Murphy wrote: > > I call 'bar' on a matrix, so it gives me clusters of vertical bars like > this > > * > * * > ** * > ** ** > > I want to superimpose vertical error bars on these... You already know the upper/lower error bounds, and just want to draw them on the graph? I don't know the exact answer off the top of my head, but I think you would get some good ideas by looking at the file errorbar.m Have you searched the user-contributed files and "solution search" at www.mathworks.com? That's also a good source for things which you think "surely somebody has wanted to do this before"! John Subject: bar chart with error bars From: M
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Activity Flagged Content Flagged as Spam Help MATLAB Central Community Home MATLAB Answers File Exchange Cody Blogs horizontal error bars matlab Newsreader Link Exchange ThingSpeak Anniversary Home Ask Answer Browse More Contributors Recent Activity Flagged Content Flagged as Spam Help Trial software Lily (view profile) 28 questions 1 answer https://www.mathworks.com/matlabcentral/newsreader/view_thread/16510 0 accepted answers Reputation: 1 Vote0 Bar with errorbars on the same figure Asked by Lily Lily (view profile) 28 questions 1 answer 0 accepted answers Reputation: 1 on 29 Aug 2013 Latest activity Commented on by Duijnhouwer Duijnhouwer (view profile) 0 questions 1 answer 0 accepted answers Reputation: 0 on 3 Jun 2016 2,003 views https://www.mathworks.com/matlabcentral/answers/85885-bar-with-errorbars-on-the-same-figure (last 30 days) 2,003 views (last 30 days) HiI'm trying to plot bar with errorbars on the same figure. I tryed to use barweb (
toolboxes, and other File Exchange content using Add-On Explorer in MATLAB. » Watch video Highlights from barwitherr(errors,varargin) barwitherr(errors,varargin) View all files Join the 15-year community celebration. Play games and win prizes! » https://www.mathworks.com/matlabcentral/fileexchange/30639-barwitherr-errors-varargin- Learn more 4.87879 4.9 | 36 ratings Rate this file 163 Downloads (last 30 days) File Size: 5.92 KB File ID: #30639 Version: 1.12 barwitherr(errors,varargin) by Martina Callaghan Martina Callaghan (view profile) 1 http://www.matlab-cookbook.com/recipes/0100_Statistics/022_lessSimpleBarCharts.html file 163 downloads 4.87879 04 Mar 2011 (Updated 29 Oct 2014) This is a very simple extension of MatLab's bar function to add error bars. | Watch this File File Information error bars Description This acts in the same way as MatLab's bar function but with an additional first parameter containing the errors on the y values. The y values are plotted using MatLab's bar function. The x values are determined from the bar plot and used with MatLab's errorbar function to add errorbars to the bar chart that are centred on the column. Adding an extra error bars matlab dimension to the errors allows for asymmetric errors. Now also compatible with new graphics introduced in 2014b Acknowledgements This file inspired Superbar. MATLAB release MATLAB 7.11 (R2010b) MATLAB Search Path / Tags for This File Please login to tag files. barbar charterrorerrorbargraphplotting Cancel Please login to add a comment or rating. Comments and Ratings (65) 04 Oct 2016 Pedram Ramin Pedram Ramin (view profile) 0 files 0 downloads 0.0 04 Oct 2016 Pedram Ramin Pedram Ramin (view profile) 0 files 0 downloads 0.0 nice job 14 Aug 2016 Nico Zuo Nico Zuo (view profile) 0 files 0 downloads 0.0 @Parto Parto's question indeed exists, since the get(h0, 'children') function can not get the individual bar which is the way in original bar function in Matlab. For example, Y=rand(1,3); eY=rand(1,3); h0=barwitherr(eY,Y); h1=get(h0, 'children'); Here, the h1 is not a cell which contains individual bar. 26 Jul 2016 Martin Schrimpf Martin Schrimpf (view profile) 0 files 0 downloads 0.0 30 Jun 2016 Julian Kuhm Julian Kuhm (view profile) 0 files 0 downloads 0.0 Very simple & works fine for me! Good job! 25 Jun 2016 Paolo Inglese Paolo Inglese (view p
isn't too tough. First of all, we'll replace the standard deviation we plotted in the previous recipe with a standard error of the mean (SEM). The idea behind this being that if two 95% SEMs don't overlap then you likely have a significant difference on your hands. I say "likely" because in practice this may depend on other things, such as multiple comparisons. We'll use the e SEM_calc.m function introduced in the SEM recipe. %Same data as before data.bob=randn(1,12)+0.66; data.alice=randn(1,15)+1.2; data.rufus=randn(1,8)-0.8; data.uma=randn(1,21)+1.4; data.bozo=randn(1,10)+5; %Calculate means and SEM in the same manner as previously f=fields(data); for ii=1:length(f) mu(ii)=mean( data.(f{ii}) ); sem(ii)=SEM_calc( data.(f{ii}) ); end %Plot all this in a pretty way H=bar(mu); set(H,'EdgeColor','b','FaceColor',[0.5,0.5,1],'LineWidth',1.5) set(gca,'XTickLabel',f) ylabel('Truffles per cubit') hold on for ii=1:length(f) plot([ii,ii],[mu(ii)-sem(ii),mu(ii)+sem(ii)],'-k','LineWidth',4) end hold off Ok! We've blasted through all the stuff in the last recipe, but this time we've used the SEM instead of the SD. Let's overlay the raw data now. It's good practice to overlay raw data when it is reasonable to do so. If you have vast quantities of data (large sample sizes and dozens of groups) then overlaying the raw data points may make the plot impossible to read. In most cases, however, overlaying the data is possible. It's always worth doing because this way you are showing yourself (and your reader) all of the information. hold on for ii=1:length(f) tmp=data.(f{ii}); %temporarily store data in variable "tmp" x = repmat(ii,1,length(tmp)); %the x axis location x = x+(rand(size(x))-0.5)*0.1; %add a little random "jitter" to aid visibility plot(x,tmp,'.r') end hold off Despite overlaying all of the data, everything has remained readable and visible. Using smaller data points can help if you have a lot of data to plot. The error bars can be thicker if you want to emphasise them more. The red data points look rather aggressive but they do stand out. With a little creativity, this plot could look equally clear in gray-scale. You are amazed at how many truffles per cubit Bozo