The zip-file contains the following files for visualizing distributions:

- distributionPlot.m: main function that allows creating violin plots

- histogram.m: generate histograms with ideal bin width given the number of data points and the spread (Freedman-Diaconis rule). Note that for integer-valued data, each integer gets its own bin.

- plotSpread.m: plot point clouds with no overlap. Works well for small number of data points, i.e. when there are less than ~20 values per bin.-The zip-file contains the following files for visualizing distributions:

- distributionPlot.m: main function that allows creating violin plots

- histogram.m: generate histograms with　ideal　bin width given the number of data points and the spread (Freedman-Diaconis rule). Note that for integer-valued data, each integer gets its own bin.

- plotSpread.m: plot point clouds with no overlap. Works well for small number of data points, i.e. when there are less than ~20 values per bin.