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plotstats 1.0

  Date Added: May 23, 2013  |  Visits: 184

plotstats

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PLOTSTATS(XDATA,YDATA) generate a nice figure for the statistical visualisation of datasets. YDATA is a cell array of vectors, each vector being a group of samples to test. XDATA is a cell array of the same size of YDATA, each element being a single number representing the abscissa of the corresponding sample group in YDATA. XDATA can be omitted. Example: ydata = { [ 1 2 3 4 5 6 7 8 9 ] [ 2 3 4 5 ] 10*rand(10,1) }; xdata = { 1 2 3 }; ydata ydata = [ 1x9 double] [ 1x4 double] [10x1 double] xdata xdata = [1] [2] [3] plotstats(xdata,ydata) With this default syntax, the command generate a 2-panel figure. The first one containing the raw data plot, the second one the box plot.It is possible to extensively customize the generated plot. See inline help for details.--------EXAMPLES--------% Basic plotx = {1 2 4};y={ rand(50,1), rand(50,1), 0.7 + 0.5*rand(100,1)};plotstats(x,y)% With everything, outliers and fit (default is straight line)x = {10 5 20};y={ 2*rand(50,1), rand(50,1), [2.1 + 0.8*rand(100,1)' 0.2 0.25 0.1]};labels = {'medium' 'low' 'high'};fitopt.DoFit = true; % option structure for the fit panelplotstats(x,y,'SeriesLabels',labels,'PlotHistogram',true,'PlotFit',true,'PlotFitOptions',fitopt)% With no graphical output and a output argument, one can get only the result struct:x = {10 5 20};y={ 2*rand(50,1), rand(50,1), [2.1 + 0.8*rand(100,1)' 0.2 0.25 0.1]};labels = {'medium' 'low' 'high'};fitopt.DoFit = true; % option structure for the fit panelS = plotstats(x,y,'SeriesLabels',labels,'PlotRawData',false,'PlotBox',false,'PlotFitOptions',fitopt)

Requirements: No special requirements
Platforms: Matlab
Keyword: Basic Details Examples Inline Outliers Plotstatsxy Rand
Users rating: 0/10

License: Shareware Size: 10 KB
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