Microscopy Image Browser 2.91
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generateBoxPlot.m File Reference

generate a box plot with points More...

Functions

function handles = generateBoxPlot (dataset, label, options)
 generate a box plot with points
 
function xVec = generateBoxPlot>calculateXSpread (datasets, spereadFactor, nbins)
 

Detailed Description

generate a box plot with points

Function Documentation

◆ generateBoxPlot()

function handles = generateBoxPlot ( dataset,
label,
options )

generate a box plot with points

Example

dataset{1} = normrnd(50,2,200,1); dataset{2} = normrnd(25,2,200,1); label = Distribution 1; label(2,:) = Distribution 2; options.xlabel = Specimen Id; options.ylabel = Distribution; options.figIndex = 1024; hFig = generateBoxPlot(dataset, label, options);

Parameters
dataset- a cell array with datasets label - a char array with labels (Note that the labels should be the same length!), use char(cell_array) to generate options - a structure with optional parameters .mode - a string, when preview the plot is scaled to the figure .width - plot width in cm .height - plot height in cm .ylim - a vector with min and max y-value .xlabel - label for the x axis .ylabel - label for the y axis .showpoints - a switch to show or not the data points .spereadfactor - a number with a spread factor, from 0 to 1 .nbins - a number of bins for the points spread .figIndex - an index of a figure to plot results .fontsize - font size
Return values
handleshandle for the figure .hFig - handle of the figure .plotAxes - handle of the axes .h2 - handle of the dot plot
Required fields of options:
Generated fields of handles:

◆ generateBoxPlot>calculateXSpread()

function xVec = generateBoxPlot>calculateXSpread ( datasets,
spereadFactor,
nbins )

References max, and N.