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Summary of what function does: 1) Automatically sets the number and range of the bins to be appropriate for the data. 2) Compares multiple sets of data elegantly on one or more plots, with legend or titles. It also graphs the mean and standard deviations. It can also plot the median and mode. 3) Outputs text with the useful statistics for each distribution. 4) Allows for changing many more parametersHighlighted features (see below for details)'separate' to plot each set on its own axis, but with the same bounds'binfactor' change the number of bins used, larger value =more bins'samebins' force all bins to be the same for all plots'legend' add a legend in the graph (default for structs)'noerror' remove the mean and std plot from the graph'median' add the median of the data to the graph'text' return many details about each graph even if not plottedSyntax:t = nhist(Y) bins the elements of Y into equally spaced containers and returns a string with information about the distributions. If Y is a cell array or a structure nhist will make graph the binned (discrete) probability density function of each data set for comparison on the same graph. It will return A cell array or structure which includes a string for each set of data.[t, N, X]= nhist(...) also returns the number of items in each bin, N, and the locations of the left edges of each bin. If Y is a cell array or structure then the output is in the same form.nhist(Y,'PropertyName', . . . )nhist(Y,'PropertyName',PropertyValue, . . . )% ExamplesCell array example:A={randn(1,10^5),randn(10^3,1)+1};nhist(A,'legend',{'u=0','u=1'});nhist(A,'legend',{'u=0','u=1'},'separate');Structure example:A.zero=randn(1,10^5); A.one=randn(10^3,1)+1;nhist(A);nhist(A,'color','summer')nhist(A,'color',[.3 .8 .3],'separate','median','noerror')nhist(A,'binfactor',4)nhist(A,'samebins')nhist(A,'median','noerror')
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Windows Software
Albina Merfyn - I find this to be really easy to use. I can...
