From 5b8d8dc84e3d37966216d12d4591db9dfe163991 Mon Sep 17 00:00:00 2001 From: mikelgg93 Date: Mon, 16 May 2022 12:31:43 +0200 Subject: [PATCH 1/6] 220516 MGG Added options for plotting only half violin on the right, left or full, independently of comparison or not. 'vHalf' Added plot quartiles options as shadow, boxplot or none. 'qStyles' Added plot data as histogram on the side. 'barpltBool' Added opt to disable scatter plot. 'scpltBool' Added test cases. modified: Violin.m modified: test_cases/testviolinplot.m --- Violin.m | 1261 +++++++++++++++++++---------------- test_cases/testviolinplot.m | 48 +- 2 files changed, 735 insertions(+), 574 deletions(-) diff --git a/Violin.m b/Violin.m index 93c0595..203359f 100644 --- a/Violin.m +++ b/Violin.m @@ -1,569 +1,692 @@ -classdef Violin < handle - % Violin creates violin plots for some data - % A violin plot is an easy to read substitute for a box plot - % that replaces the box shape with a kernel density estimate of - % the data, and optionally overlays the data points itself. - % It is also possible to provide two sets of data which are supposed - % to be compared by plotting each column of the two datasets together - % on each side of the violin. - % - % Additional constructor parameters include the width of the - % plot, the bandwidth of the kernel density estimation, the - % X-axis position of the violin plot, and the categories. - % - % Use violinplot for a - % boxplot-like wrapper for - % interactive plotting. - % - % See for more information on Violin Plots: - % J. L. Hintze and R. D. Nelson, "Violin plots: a box - % plot-density trace synergism," The American Statistician, vol. - % 52, no. 2, pp. 181-184, 1998. - % - % Violin Properties: - % ViolinColor - Fill color of the violin area and data points. - % Can be either a matrix nx3 or an array of up to two - % cells containing nx3 matrices. - % Defaults to the next default color cycle. - % ViolinAlpha - Transparency of the violin area and data points. - % Can be either a single scalar value or an array of - % up to two cells containing scalar values. - % Defaults to 0.3. - % EdgeColor - Color of the violin area outline. - % Defaults to [0.5 0.5 0.5] - % BoxColor - Color of the box, whiskers, and the outlines of - % the median point and the notch indicators. - % Defaults to [0.5 0.5 0.5] - % MedianColor - Fill color of the median and notch indicators. - % Defaults to [1 1 1] - % ShowData - Whether to show data points. - % Defaults to true - % ShowNotches - Whether to show notch indicators. - % Defaults to false - % ShowMean - Whether to show mean indicator. - % Defaults to false - % ShowBox - Whether to show the box. - % Defaults to true - % ShowMedian - Whether to show the median indicator. - % Defaults to true - % ShowWhiskers - Whether to show the whiskers - % Defaults to true - % - % Violin Children: - % ScatterPlot - scatter plot of the data points - % ScatterPlot2 - scatter second plot of the data points - % ViolinPlot - fill plot of the kernel density estimate - % ViolinPlot2 - fill second plot of the kernel density estimate - % BoxPlot - fill plot of the box between the quartiles - % WhiskerPlot - line plot between the whisker ends - % MedianPlot - scatter plot of the median (one point) - % NotchPlots - scatter plots for the notch indicators - % MeanPlot - line plot at mean value - - % Copyright (c) 2016, Bastian Bechtold - % This code is released under the terms of the BSD 3-clause license - - properties (Access=public) - ScatterPlot % scatter plot of the data points - ScatterPlot2 % comparison scatter plot of the data points - ViolinPlot % fill plot of the kernel density estimate - ViolinPlot2 % comparison fill plot of the kernel density estimate - BoxPlot % fill plot of the box between the quartiles - WhiskerPlot % line plot between the whisker ends - MedianPlot % scatter plot of the median (one point) - NotchPlots % scatter plots for the notch indicators - MeanPlot % line plot of the mean (horizontal line) - end - - properties (Dependent=true) - ViolinColor % fill color of the violin area and data points - ViolinAlpha % transparency of the violin area and data points - MarkerSize % marker size for the median dot - LineWidth % linewidth of the median plot - EdgeColor % color of the violin area outline - BoxColor % color of box, whiskers, and median/notch edges - BoxWidth % width of box between the quartiles in axis space (default 10% of Violin plot width, 0.03) - MedianColor % fill color of median and notches - ShowData % whether to show data points - ShowNotches % whether to show notch indicators - ShowMean % whether to show mean indicator - ShowBox % whether to show the box - ShowMedian % whether to show the median line - ShowWhiskers % whether to show the whiskers - end - - methods - function obj = Violin(data, pos, varargin) - %Violin plots a violin plot of some data at pos - % VIOLIN(DATA, POS) plots a violin at x-position POS for - % a vector of DATA points. - % - % VIOLIN(..., 'PARAM1', val1, 'PARAM2', val2, ...) - % specifies optional name/value pairs: - % 'Width' Width of the violin in axis space. - % Defaults to 0.3 - % 'Bandwidth' Bandwidth of the kernel density - % estimate. Should be between 10% and - % 40% of the data range. - % 'ViolinColor' Fill color of the violin area - % and data points.Can be either a matrix - % nx3 or an array of up to two cells - % containing nx3 matrices. - % 'ViolinAlpha' Transparency of the violin area and data - % points. Can be either a single scalar - % value or an array of up to two cells - % containing scalar values. Defaults to 0.3. - % 'EdgeColor' Color of the violin area outline. - % Defaults to [0.5 0.5 0.5] - % 'BoxColor' Color of the box, whiskers, and the - % outlines of the median point and the - % notch indicators. Defaults to - % [0.5 0.5 0.5] - % 'MedianColor' Fill color of the median and notch - % indicators. Defaults to [1 1 1] - % 'ShowData' Whether to show data points. - % Defaults to true - % 'ShowNotches' Whether to show notch indicators. - % Defaults to false - % 'ShowMean' Whether to show mean indicator. - % Defaults to false - % 'ShowBox' Whether to show the box - % Defaults to true - % 'ShowMedian' Whether to show the median line - % Defaults to true - % 'ShowWhiskers' Whether to show the whiskers - % Defaults to true - - args = obj.checkInputs(data, pos, varargin{:}); - - if length(data)==1 - data2 = []; - data = data{1}; - - else - data2 = data{2}; - data = data{1}; - end - - if isempty(args.ViolinColor) - C = colororder; - args.ViolinColor = {repmat(C,ceil(size(data,2)/length(C)),1)}; - end - - data = data(not(isnan(data))); - data2 = data2(not(isnan(data2))); - if numel(data) == 1 - obj.MedianPlot = scatter(pos, data, 'filled'); - obj.MedianColor = args.MedianColor; - obj.MedianPlot.MarkerEdgeColor = args.EdgeColor; - return - end - - hold('on'); - - - %% calculate kernel density estimation for the violin - [density, value, width] = obj.calcKernelDensity(data, args.Bandwidth, args.Width); - - % also calculate the kernel density of the comparison data if - % provided - if ~isempty(data2) - [densityC, valueC, widthC] = obj.calcKernelDensity(data2, args.Bandwidth, args.Width); - end - - %% plot the data points within the violin area - if length(density) > 1 - jitterstrength = interp1(value, density*width, data); - else % all data is identical: - jitterstrength = density*width; - end - if isempty(data2) % if no comparison data - jitter = 2*(rand(size(data))-0.5); % both sides - else - jitter = rand(size(data)); % only right side - end - obj.ScatterPlot = ... - scatter(pos + jitter.*jitterstrength, data, 'filled'); - - if ~isempty(data2) - % plot the data points within the violin area - if length(densityC) > 1 - jitterstrength = interp1(valueC, densityC*widthC, data2); - else % all data is identical: - jitterstrength = densityC*widthC; - end - jitter = rand(size(data2))-1; - obj.ScatterPlot2 = ... - scatter(pos + jitter.*jitterstrength, data2, 'filled'); - end - - %% plot the violins - if isempty(data2) - % plot the violin on boths sides - obj.ViolinPlot = ... % plot color will be overwritten later - fill([pos+density*width pos-density(end:-1:1)*width], ... - [value value(end:-1:1)], [1 1 1]); - else - % plot right half of the violin - obj.ViolinPlot = ... - fill([pos+density*width pos-density(1)*width], ... - [value value(1)], [1 1 1]); - % plot left half of the violin - obj.ViolinPlot2 = ... - fill([pos-densityC(end)*widthC pos-densityC(end:-1:1)*widthC], ... - [valueC(end) valueC(end:-1:1)], [1 1 1]); - end - - %% plot the mini-boxplot within the violin - quartiles = quantile(data, [0.25, 0.5, 0.75]); - obj.BoxPlot = ... % plot color will be overwritten later - fill(pos+[-1,1,1,-1]*args.BoxWidth, ... - [quartiles(1) quartiles(1) quartiles(3) quartiles(3)], ... - [1 1 1]); - - %% plot the data mean - meanValue = mean(data); - if length(density) > 1 - meanDensityWidth = interp1(value, density, meanValue)*width; - else % all data is identical: - meanDensityWidth = density*width; - end - if meanDensityWidth lowhisker))); - hiwhisker = quartiles(3) + 1.5*IQR; - hiwhisker = min(hiwhisker, max(data(data < hiwhisker))); - if ~isempty(lowhisker) && ~isempty(hiwhisker) - obj.WhiskerPlot = plot([pos pos], [lowhisker hiwhisker]); - end - - obj.MedianPlot = scatter(pos, quartiles(2), args.MarkerSize, [1 1 1], 'filled'); - - obj.NotchPlots = ... - scatter(pos, quartiles(2)-1.57*IQR/sqrt(length(data)), ... - [], [1 1 1], 'filled', '^'); - obj.NotchPlots(2) = ... - scatter(pos, quartiles(2)+1.57*IQR/sqrt(length(data)), ... - [], [1 1 1], 'filled', 'v'); - - %% set graphical preferences - obj.EdgeColor = args.EdgeColor; - obj.MedianPlot.LineWidth = args.LineWidth; - obj.BoxColor = args.BoxColor; - obj.BoxWidth = args.BoxWidth; - obj.MedianColor = args.MedianColor; - obj.ShowData = args.ShowData; - obj.ShowNotches = args.ShowNotches; - obj.ShowMean = args.ShowMean; - obj.ShowBox = args.ShowBox; - obj.ShowMedian = args.ShowMedian; - obj.ShowWhiskers = args.ShowWhiskers; - - if not(isempty(args.ViolinColor)) - if size(args.ViolinColor{1},1) > 1 - ViolinColor{1} = args.ViolinColor{1}(pos,:); - else - ViolinColor{1} = args.ViolinColor{1}; - end - if length(args.ViolinColor)==2 - if size(args.ViolinColor{2},1) > 1 - ViolinColor{2} = args.ViolinColor{2}(pos,:); - else - ViolinColor{2} = args.ViolinColor{2}; - end - else - ViolinColor{2} = ViolinColor{1}; - end - else - % defaults - ViolinColor{1} = obj.ScatterPlot.CData; - ViolinColor{2} = [0 0 0]; - end - obj.ViolinColor = ViolinColor; - - - if not(isempty(args.ViolinAlpha)) - if length(args.ViolinAlpha{1})>1 - error('Only scalar values are accepted for the alpha color channel'); - else - ViolinAlpha{1} = args.ViolinAlpha{1}; - end - if length(args.ViolinAlpha)==2 - if length(args.ViolinAlpha{2})>1 - error('Only scalar values are accepted for the alpha color channel'); - else - ViolinAlpha{2} = args.ViolinAlpha{2}; - end - else - ViolinAlpha{2} = ViolinAlpha{1}/2; % default unless specified - end - else - % default - ViolinAlpha = {1,1}; - end - obj.ViolinAlpha = ViolinAlpha; - - - end - - %% SET METHODS - function set.EdgeColor(obj, color) - if ~isempty(obj.ViolinPlot) - obj.ViolinPlot.EdgeColor = color; - if ~isempty(obj.ViolinPlot2) - obj.ViolinPlot2.EdgeColor = color; - end - end - end - - function color = get.EdgeColor(obj) - if ~isempty(obj.ViolinPlot) - color = obj.ViolinPlot.EdgeColor; - end - end - - - function set.MedianColor(obj, color) - obj.MedianPlot.MarkerFaceColor = color; - if ~isempty(obj.NotchPlots) - obj.NotchPlots(1).MarkerFaceColor = color; - obj.NotchPlots(2).MarkerFaceColor = color; - end - end - - function color = get.MedianColor(obj) - color = obj.MedianPlot.MarkerFaceColor; - end - - - function set.BoxColor(obj, color) - if ~isempty(obj.BoxPlot) - obj.BoxPlot.FaceColor = color; - obj.BoxPlot.EdgeColor = color; - obj.WhiskerPlot.Color = color; - obj.MedianPlot.MarkerEdgeColor = color; - obj.NotchPlots(1).MarkerFaceColor = color; - obj.NotchPlots(2).MarkerFaceColor = color; - end - end - - function color = get.BoxColor(obj) - if ~isempty(obj.BoxPlot) - color = obj.BoxPlot.FaceColor; - end - end - - - function set.BoxWidth(obj,width) - if ~isempty(obj.BoxPlot) - pos=mean(obj.BoxPlot.XData); - obj.BoxPlot.XData=pos+[-1,1,1,-1]*width; - end - end - - function width = get.BoxWidth(obj) - width=max(obj.BoxPlot.XData)-min(obj.BoxPlot.XData); - end - - - function set.ViolinColor(obj, color) - obj.ViolinPlot.FaceColor = color{1}; - obj.ScatterPlot.MarkerFaceColor = color{1}; - obj.MeanPlot.Color = color{1}; - if ~isempty(obj.ViolinPlot2) - obj.ViolinPlot2.FaceColor = color{2}; - obj.ScatterPlot2.MarkerFaceColor = color{2}; - end - end - - function color = get.ViolinColor(obj) - color{1} = obj.ViolinPlot.FaceColor; - if ~isempty(obj.ViolinPlot2) - color{2} = obj.ViolinPlot2.FaceColor; - end - end - - - function set.ViolinAlpha(obj, alpha) - obj.ViolinPlot.FaceAlpha = alpha{1}; - obj.ScatterPlot.MarkerFaceAlpha = alpha{1}; - if ~isempty(obj.ViolinPlot2) - obj.ViolinPlot2.FaceAlpha = alpha{2}; - obj.ScatterPlot2.MarkerFaceAlpha = alpha{2}; - end - end - - function alpha = get.ViolinAlpha(obj) - alpha{1} = obj.ViolinPlot.FaceAlpha; - if ~isempty(obj.ViolinPlot2) - alpha{2} = obj.ViolinPlot2.FaceAlpha; - end - end - - - function set.ShowData(obj, yesno) - if yesno - obj.ScatterPlot.Visible = 'on'; - else - obj.ScatterPlot.Visible = 'off'; - end - if ~isempty(obj.ScatterPlot2) - obj.ScatterPlot2.Visible = obj.ScatterPlot.Visible; - end - - end - - function yesno = get.ShowData(obj) - if ~isempty(obj.ScatterPlot) - yesno = strcmp(obj.ScatterPlot.Visible, 'on'); - end - end - - - function set.ShowNotches(obj, yesno) - if ~isempty(obj.NotchPlots) - if yesno - obj.NotchPlots(1).Visible = 'on'; - obj.NotchPlots(2).Visible = 'on'; - else - obj.NotchPlots(1).Visible = 'off'; - obj.NotchPlots(2).Visible = 'off'; - end - end - end - - function yesno = get.ShowNotches(obj) - if ~isempty(obj.NotchPlots) - yesno = strcmp(obj.NotchPlots(1).Visible, 'on'); - end - end - - - function set.ShowMean(obj, yesno) - if ~isempty(obj.MeanPlot) - if yesno - obj.MeanPlot.Visible = 'on'; - else - obj.MeanPlot.Visible = 'off'; - end - end - end - - function yesno = get.ShowMean(obj) - if ~isempty(obj.BoxPlot) - yesno = strcmp(obj.BoxPlot.Visible, 'on'); - end - end - - - function set.ShowBox(obj, yesno) - if ~isempty(obj.BoxPlot) - if yesno - obj.BoxPlot.Visible = 'on'; - else - obj.BoxPlot.Visible = 'off'; - end - end - end - - function yesno = get.ShowBox(obj) - if ~isempty(obj.BoxPlot) - yesno = strcmp(obj.BoxPlot.Visible, 'on'); - end - end - - - function set.ShowMedian(obj, yesno) - if ~isempty(obj.MedianPlot) - if yesno - obj.MedianPlot.Visible = 'on'; - else - obj.MedianPlot.Visible = 'off'; - end - end - end - - function yesno = get.ShowMedian(obj) - if ~isempty(obj.MedianPlot) - yesno = strcmp(obj.MedianPlot.Visible, 'on'); - end - end - - - function set.ShowWhiskers(obj, yesno) - if ~isempty(obj.WhiskerPlot) - if yesno - obj.WhiskerPlot.Visible = 'on'; - else - obj.WhiskerPlot.Visible = 'off'; - end - end - end - - function yesno = get.ShowWhiskers(obj) - if ~isempty(obj.WhiskerPlot) - yesno = strcmp(obj.WhiskerPlot.Visible, 'on'); - end - end - - end - - methods (Access=private) - function results = checkInputs(~, data, pos, varargin) - isscalarnumber = @(x) (isnumeric(x) & isscalar(x)); - p = inputParser(); - p.addRequired('Data', @(x)isnumeric(vertcat(x{:}))); - p.addRequired('Pos', isscalarnumber); - p.addParameter('Width', 0.3, isscalarnumber); - p.addParameter('Bandwidth', [], isscalarnumber); - iscolor = @(x) (isnumeric(x) & size(x,2) == 3); - p.addParameter('ViolinColor', [], @(x)iscolor(vertcat(x{:}))); - p.addParameter('MarkerSize', 36, @isnumeric); - p.addParameter('LineWidth', 0.75, @isnumeric); - p.addParameter('BoxColor', [0.5 0.5 0.5], iscolor); - p.addParameter('BoxWidth', 0.01, isscalarnumber); - p.addParameter('EdgeColor', [0.5 0.5 0.5], iscolor); - p.addParameter('MedianColor', [1 1 1], iscolor); - p.addParameter('ViolinAlpha', {0.3,0.15}, @(x)isnumeric(vertcat(x{:}))); - isscalarlogical = @(x) (islogical(x) & isscalar(x)); - p.addParameter('ShowData', true, isscalarlogical); - p.addParameter('ShowNotches', false, isscalarlogical); - p.addParameter('ShowMean', false, isscalarlogical); - p.addParameter('ShowBox', true, isscalarlogical); - p.addParameter('ShowMedian', true, isscalarlogical); - p.addParameter('ShowWhiskers', true, isscalarlogical); - p.parse(data, pos, varargin{:}); - results = p.Results; - end - end - - methods (Static) - function [density, value, width] = calcKernelDensity(data, bandwidth, width) - if isempty(data) - error('Empty input data'); - end - [density, value] = ksdensity(data, 'bandwidth', bandwidth); - density = density(value >= min(data) & value <= max(data)); - value = value(value >= min(data) & value <= max(data)); - value(1) = min(data); - value(end) = max(data); - value = [value(1)*(1-1E-5), value, value(end)*(1+1E-5)]; - density = [0, density, 0]; - - % all data is identical - if min(data) == max(data) - density = 1; - end - - width = width/max(density); - end - end -end +classdef Violin < handle + % Violin creates violin plots for some data + % A violin plot is an easy to read substitute for a box plot + % that replaces the box shape with a kernel density estimate of + % the data, and optionally overlays the data points itself. + % It is also possible to provide two sets of data which are supposed + % to be compared by plotting each column of the two datasets together + % on each side of the violin. + % + % Additional constructor parameters include the width of the + % plot, the bandwidth of the kernel density estimation, the + % X-axis position of the violin plot, and the categories. + % + % Use violinplot for a + % boxplot-like wrapper for + % interactive plotting. + % + % See for more information on Violin Plots: + % J. L. Hintze and R. D. Nelson, "Violin plots: a box + % plot-density trace synergism," The American Statistician, vol. + % 52, no. 2, pp. 181-184, 1998. + % + % Violin Properties: + % ViolinColor - Fill color of the violin area and data points. + % Can be either a matrix nx3 or an array of up to two + % cells containing nx3 matrices. + % Defaults to the next default color cycle. + % ViolinAlpha - Transparency of the violin area and data points. + % Can be either a single scalar value or an array of + % up to two cells containing scalar values. + % Defaults to 0.3. + % EdgeColor - Color of the violin area outline. + % Defaults to [0.5 0.5 0.5] + % BoxColor - Color of the box, whiskers, and the outlines of + % the median point and the notch indicators. + % Defaults to [0.5 0.5 0.5] + % MedianColor - Fill color of the median and notch indicators. + % Defaults to [1 1 1] + % ShowData - Whether to show data points. + % Defaults to true + % ShowNotches - Whether to show notch indicators. + % Defaults to false + % ShowMean - Whether to show mean indicator. + % Defaults to false + % ShowBox - Whether to show the box. + % Defaults to true + % ShowMedian - Whether to show the median indicator. + % Defaults to true + % ShowWhiskers - Whether to show the whiskers + % Defaults to true + % vHalf - Whether to do a half violin(left, right side) or + % full. Defaults to full. + % plotQuartiles - Option on how to display quartiles, with a + % boxplot, shadow or none. Defaults to boxplot. + % scpltBool - Turns on/off the scatter plot. + % Defaults to True. + % barPlotBool - Turns on/off the side histogram/bar plot. Defaults + % to false (so bar plot is off) + % + % + % Violin Children: + % ScatterPlot - scatter plot of the data points + % ScatterPlot2 - scatter second plot of the data points + % ViolinPlot - fill plot of the kernel density estimate + % ViolinPlot2 - fill second plot of the kernel density estimate + % BoxPlot - fill plot of the box between the quartiles + % WhiskerPlot - line plot between the whisker ends + % MedianPlot - scatter plot of the median (one point) + % NotchPlots - scatter plots for the notch indicators + % MeanPlot - line plot at mean value + + + % Copyright (c) 2016, Bastian Bechtold + % This code is released under the terms of the BSD 3-clause license + + properties (Access=public) + ScatterPlot % scatter plot of the data points + ScatterPlot2 % comparison scatter plot of the data points + ViolinPlot % fill plot of the kernel density estimate + ViolinPlot2 % comparison fill plot of the kernel density estimate + BoxPlot % fill plot of the box between the quartiles + WhiskerPlot % line plot between the whisker ends + MedianPlot % scatter plot of the median (one point) + NotchPlots % scatter plots for the notch indicators + MeanPlot % line plot of the mean (horizontal line) + ViolinPlotQ % color diff the quartiles + BarPlot % alternative to the scatter plot, histograms + end + + properties (Dependent=true) + ViolinColor % fill color of the violin area and data points + ViolinAlpha % transparency of the violin area and data points + MarkerSize % marker size for the median dot + LineWidth % linewidth of the median plot + EdgeColor % color of the violin area outline + BoxColor % color of box, whiskers, and median/notch edges + BoxWidth % width of box between the quartiles in axis space (default 10% of Violin plot width, 0.03) + MedianColor % fill color of median and notches + ShowData % whether to show data points + ShowNotches % whether to show notch indicators + ShowMean % whether to show mean indicator + ShowBox % whether to show the box + ShowMedian % whether to show the median line + ShowWhiskers % whether to show the whiskers + violinSide % whether to do a half violin(left, right side) or full + end + + methods + function obj = Violin(data, pos, varargin) + %Violin plots a violin plot of some data at pos + % VIOLIN(DATA, POS) plots a violin at x-position POS for + % a vector of DATA points. + % + % VIOLIN(..., 'PARAM1', val1, 'PARAM2', val2, ...) + % specifies optional name/value pairs: + % 'Width' Width of the violin in axis space. + % Defaults to 0.3 + % 'Bandwidth' Bandwidth of the kernel density + % estimate. Should be between 10% and + % 40% of the data range. + % 'ViolinColor' Fill color of the violin area + % and data points.Can be either a matrix + % nx3 or an array of up to two cells + % containing nx3 matrices. + % 'ViolinAlpha' Transparency of the violin area and data + % points. Can be either a single scalar + % value or an array of up to two cells + % containing scalar values. Defaults to 0.3. + % 'EdgeColor' Color of the violin area outline. + % Defaults to [0.5 0.5 0.5] + % 'BoxColor' Color of the box, whiskers, and the + % outlines of the median point and the + % notch indicators. Defaults to + % [0.5 0.5 0.5] + % 'MedianColor' Fill color of the median and notch + % indicators. Defaults to [1 1 1] + % 'ShowData' Whether to show data points. + % Defaults to true + % 'ShowNotches' Whether to show notch indicators. + % Defaults to false + % 'ShowMean' Whether to show mean indicator. + % Defaults to false + % 'ShowBox' Whether to show the box + % Defaults to true + % 'ShowMedian' Whether to show the median line + % Defaults to true + % 'ShowWhiskers' Whether to show the whiskers + % Defaults to true + % 'vHalf' Whether to do a half violin(left, right side) or + % full. Defaults to full. + % 'qStyles' Option on how to display quartiles, with a + % boxplot or as a shadow. Defaults to boxplot. + % 'scpltBool' Turns on/off the scatter plot. Defaults to + % True (so scatter plot is on) + % 'barPlotBool' Turns on/off the side histogram/bar plot. Defaults to + % false (so bar plot is off) + + st = dbstack; % get the calling function for reporting errors + namefun = st.name; + args = obj.checkInputs(data, pos, varargin{:}); + + if length(data)==1 + data2 = []; + data = data{1}; + + else + data2 = data{2}; + data = data{1}; + end + + if isempty(args.ViolinColor) + C = colororder; + args.ViolinColor = {repmat(C,ceil(size(data,2)/length(C)),1)}; + end + + data = data(not(isnan(data))); + data2 = data2(not(isnan(data2))); + if numel(data) == 1 + obj.MedianPlot = scatter(pos, data, 'filled'); + obj.MedianColor = args.MedianColor; + obj.MedianPlot.MarkerEdgeColor = args.EdgeColor; + return + end + + hold('on'); + + + %% Calculate kernel density estimation for the violin + [density, value, width] = obj.calcKernelDensity(data, args.Bandwidth, args.Width); + + % also calculate the kernel density of the comparison data if + % provided + if ~isempty(data2) + [densityC, valueC, widthC] = obj.calcKernelDensity(data2, args.Bandwidth, args.Width); + end + + %% Plot the data points within the violin area + if length(density) > 1 + jitterstrength = interp1(value, density*width, data); + else % all data is identical: + jitterstrength = density*width; + end + if isempty(data2) % if no comparison data + jitter = 2*(rand(size(data))-0.5); % both sides + else + jitter = rand(size(data)); % only right side + end + switch args.vHalf % this is more modular + case 'left' + jitter = -1*(rand(size(data))); %left + case 'right' + jitter = 1*(rand(size(data))); %right + case 'full' + jitter = 2*(rand(size(data))-0.5); + end + % Make scatter plot + if args.scpltBool + if ~isempty(data2) + jitter = 1*(rand(size(data))); %right + obj.ScatterPlot = ... + scatter(pos + jitter.*jitterstrength, data, 'filled'); + % plot the data points within the violin area + if length(densityC) > 1 + jitterstrength = interp1(valueC, densityC*widthC, data2); + else % all data is identical: + jitterstrength = densityC*widthC; + end + jitter = -1*rand(size(data2));% left + obj.ScatterPlot2 = ... + scatter(pos + jitter.*jitterstrength, data2, 'filled'); + else + obj.ScatterPlot = ... + scatter(pos + jitter.*jitterstrength, data, 'filled'); + + end + end + % Make histogram plot + if args.barpltBool + [counts,edges] = histcounts(data, size(unique(data),1)); + switch args.vHalf + case 'right' + obj.BarPlot= plot([pos-((counts')/max(counts))*max(jitterstrength)*2, pos*ones(size(counts,2),1)]',... + [edges(1:end-1)+max(diff(edges))/2; edges(1:end-1)+max(diff(edges))/2],'-','LineWidth',1, 'Color', 'k'); + case 'left' + obj.BarPlot= plot([pos*ones(size(counts,2),1), pos+((counts')/max(counts))*max(jitterstrength)*2]',... + [edges(1:end-1)+max(diff(edges))/2; edges(1:end-1)+max(diff(edges))/2],'-','LineWidth',1, 'Color', 'k'); + otherwise + fprintf([namefun, ' No histogram/bar plot option available for full violins, as it would look overcrowded.\n']) + end + end + + %% Plot the violin + halfViol= ones(1, size(density,2)); + if isempty(data2) % if no comparison data + switch args.vHalf + case 'right' + obj.ViolinPlot = ... % plot color will be overwritten later + fill([pos+density*width halfViol*pos], ... + [value value(end:-1:1)], [1 1 1]); + case 'left' + obj.ViolinPlot = ... % plot color will be overwritten later + fill([halfViol*pos pos-density(end:-1:1)*width], ... + [value value(end:-1:1)], [1 1 1]); + case 'full' + obj.ViolinPlot = ... % plot color will be overwritten later + fill([pos+density*width pos-density(end:-1:1)*width], ... + [value value(end:-1:1)], [1 1 1]); + end + else + % plot right half of the violin + obj.ViolinPlot = ... + fill([pos+density*width pos-density(1)*width], ... + [value value(1)], [1 1 1]); + % plot left half of the violin + obj.ViolinPlot2 = ... + fill([pos-densityC(end)*widthC pos-densityC(end:-1:1)*widthC], ... + [valueC(end) valueC(end:-1:1)], [1 1 1]); + end + + %% Plot the quartiles within the violin + quartiles = quantile(data, [0.25, 0.5, 0.75]); + flat= [halfViol*pos halfViol*pos]; + switch args.qStyles + case 'shadow' + switch args.vHalf + case 'right' + w = [pos+density*width halfViol*pos]; + h= [value value(end:-1:1)]; + case 'left' + w = [halfViol*pos pos-density(end:-1:1)*width]; + h= [value value(end:-1:1)]; + case 'full' + w = [pos+density*width pos-density(end:-1:1)*width]; + h= [value value(end:-1:1)]; + end + w(hquartiles(3))=flat((h>quartiles(3))); + obj.ViolinPlotQ = ... % plot color will be overwritten later + fill(w, ... + h, [1 1 1]); + case 'boxplot' + obj.BoxPlot = ... % plot color will be overwritten later + fill(pos+[-1,1,1,-1]*args.BoxWidth, ... + [quartiles(1) quartiles(1) quartiles(3) quartiles(3)], ... + [1 1 1]); + case 'none' + end + + %% Plot the data mean + meanValue = mean(data); + if length(density) > 1 + meanDensityWidth = interp1(value, density, meanValue)*width; + else % all data is identical: + meanDensityWidth = density*width; + end + if meanDensityWidth lowhisker))); + hiwhisker = quartiles(3) + 1.5*IQR; + hiwhisker = min(hiwhisker, max(data(data < hiwhisker))); + if ~isempty(lowhisker) && ~isempty(hiwhisker) + obj.WhiskerPlot = plot([pos pos], [lowhisker hiwhisker]); + end + + % Median + obj.MedianPlot = scatter(pos, quartiles(2), args.MarkerSize, [1 1 1], 'filled'); + + % Notches + obj.NotchPlots = ... + scatter(pos, quartiles(2)-1.57*IQR/sqrt(length(data)), ... + [], [1 1 1], 'filled', '^'); + obj.NotchPlots(2) = ... + scatter(pos, quartiles(2)+1.57*IQR/sqrt(length(data)), ... + [], [1 1 1], 'filled', 'v'); + + %% Set graphical preferences + obj.EdgeColor = args.EdgeColor; + obj.MedianPlot.LineWidth = args.LineWidth; + obj.BoxColor = args.BoxColor; + obj.BoxWidth = args.BoxWidth; + obj.MedianColor = args.MedianColor; + obj.ShowData = args.ShowData; + obj.ShowNotches = args.ShowNotches; + obj.ShowMean = args.ShowMean; + obj.ShowBox = args.ShowBox; + obj.ShowMedian = args.ShowMedian; + obj.ShowWhiskers = args.ShowWhiskers; + + if not(isempty(args.ViolinColor)) + if size(args.ViolinColor{1},1) > 1 + ViolinColor{1} = args.ViolinColor{1}(pos,:); + else + ViolinColor{1} = args.ViolinColor{1}; + end + if length(args.ViolinColor)==2 + if size(args.ViolinColor{2},1) > 1 + ViolinColor{2} = args.ViolinColor{2}(pos,:); + else + ViolinColor{2} = args.ViolinColor{2}; + end + else + ViolinColor{2} = ViolinColor{1}; + end + else + % defaults + if args.scpltBool + ViolinColor{1} = obj.ScatterPlot.CData; + else + ViolinColor{1} = [0 0 0]; + end + ViolinColor{2} = [0 0 0]; + end + obj.ViolinColor = ViolinColor; + + + if not(isempty(args.ViolinAlpha)) + if length(args.ViolinAlpha{1})>1 + error('Only scalar values are accepted for the alpha color channel'); + else + ViolinAlpha{1} = args.ViolinAlpha{1}; + end + if length(args.ViolinAlpha)==2 + if length(args.ViolinAlpha{2})>1 + error('Only scalar values are accepted for the alpha color channel'); + else + ViolinAlpha{2} = args.ViolinAlpha{2}; + end + else + ViolinAlpha{2} = ViolinAlpha{1}/2; % default unless specified + end + else + % default + ViolinAlpha = {1,1}; + end + obj.ViolinAlpha = ViolinAlpha; + + + end + + %% SET METHODS + function set.EdgeColor(obj, color) + if ~isempty(obj.ViolinPlot) + obj.ViolinPlot.EdgeColor = color; + obj.ViolinPlotQ.EdgeColor = color; + if ~isempty(obj.ViolinPlot2) + obj.ViolinPlot2.EdgeColor = color; + end + end + end + + function color = get.EdgeColor(obj) + if ~isempty(obj.ViolinPlot) + color = obj.ViolinPlot.EdgeColor; + end + end + + + function set.MedianColor(obj, color) + obj.MedianPlot.MarkerFaceColor = color; + if ~isempty(obj.NotchPlots) + obj.NotchPlots(1).MarkerFaceColor = color; + obj.NotchPlots(2).MarkerFaceColor = color; + end + end + + function color = get.MedianColor(obj) + color = obj.MedianPlot.MarkerFaceColor; + end + + + function set.BoxColor(obj, color) + if ~isempty(obj.BoxPlot) + obj.BoxPlot.FaceColor = color; + obj.BoxPlot.EdgeColor = color; + obj.WhiskerPlot.Color = color; + obj.MedianPlot.MarkerEdgeColor = color; + obj.NotchPlots(1).MarkerFaceColor = color; + obj.NotchPlots(2).MarkerFaceColor = color; + elseif ~isempty(obj.ViolinPlotQ) + obj.WhiskerPlot.Color = color; + obj.MedianPlot.MarkerEdgeColor = color; + obj.NotchPlots(1).MarkerFaceColor = color; + obj.NotchPlots(2).MarkerFaceColor = color; + end + end + + function color = get.BoxColor(obj) + if ~isempty(obj.BoxPlot) + color = obj.BoxPlot.FaceColor; + end + end + + + function set.BoxWidth(obj,width) + if ~isempty(obj.BoxPlot) + pos=mean(obj.BoxPlot.XData); + obj.BoxPlot.XData=pos+[-1,1,1,-1]*width; + end + end + + function width = get.BoxWidth(obj) + width=max(obj.BoxPlot.XData)-min(obj.BoxPlot.XData); + end + + + function set.ViolinColor(obj, color) + obj.ViolinPlot.FaceColor = color{1}; + obj.ScatterPlot.MarkerFaceColor = color{1}; + obj.MeanPlot.Color = color{1}; + if ~isempty(obj.ViolinPlot2) + obj.ViolinPlot2.FaceColor = color{2}; + obj.ScatterPlot2.MarkerFaceColor = color{2}; + end + if ~isempty(obj.ViolinPlotQ) + obj.ViolinPlotQ.FaceColor = color{1}; + end + for idx = 1: size(obj.BarPlot,1) + obj.BarPlot(idx).Color = color{1}; + end + end + + function color = get.ViolinColor(obj) + color{1} = obj.ViolinPlot.FaceColor; + if ~isempty(obj.ViolinPlot2) + color{2} = obj.ViolinPlot2.FaceColor; + end + end + + + function set.ViolinAlpha(obj, alpha) + obj.ViolinPlotQ.FaceAlpha = .8; + obj.ViolinPlot.FaceAlpha = alpha{1}; + obj.ScatterPlot.MarkerFaceAlpha = alpha{1}; + if ~isempty(obj.ViolinPlot2) + obj.ViolinPlot2.FaceAlpha = alpha{2}; + obj.ScatterPlot2.MarkerFaceAlpha = alpha{2}; + end + end + + function alpha = get.ViolinAlpha(obj) + alpha{1} = obj.ViolinPlot.FaceAlpha; + if ~isempty(obj.ViolinPlot2) + alpha{2} = obj.ViolinPlot2.FaceAlpha; + end + end + + + function set.ShowData(obj, yesno) + if yesno + obj.ScatterPlot.Visible = 'on'; + else + obj.ScatterPlot.Visible = 'off'; + end + if ~isempty(obj.ScatterPlot2) + obj.ScatterPlot2.Visible = obj.ScatterPlot.Visible; + end + + end + + function yesno = get.ShowData(obj) + if ~isempty(obj.ScatterPlot) + yesno = strcmp(obj.ScatterPlot.Visible, 'on'); + end + end + + + function set.ShowNotches(obj, yesno) + if ~isempty(obj.NotchPlots) + if yesno + obj.NotchPlots(1).Visible = 'on'; + obj.NotchPlots(2).Visible = 'on'; + else + obj.NotchPlots(1).Visible = 'off'; + obj.NotchPlots(2).Visible = 'off'; + end + end + end + + function yesno = get.ShowNotches(obj) + if ~isempty(obj.NotchPlots) + yesno = strcmp(obj.NotchPlots(1).Visible, 'on'); + end + end + + + function set.ShowMean(obj, yesno) + if ~isempty(obj.MeanPlot) + if yesno + obj.MeanPlot.Visible = 'on'; + else + obj.MeanPlot.Visible = 'off'; + end + end + end + + function yesno = get.ShowMean(obj) + if ~isempty(obj.BoxPlot) + yesno = strcmp(obj.BoxPlot.Visible, 'on'); + end + end + + + function set.ShowBox(obj, yesno) + if ~isempty(obj.BoxPlot) + if yesno + obj.BoxPlot.Visible = 'on'; + else + obj.BoxPlot.Visible = 'off'; + end + end + end + + function yesno = get.ShowBox(obj) + if ~isempty(obj.BoxPlot) + yesno = strcmp(obj.BoxPlot.Visible, 'on'); + end + end + + + function set.ShowMedian(obj, yesno) + if ~isempty(obj.MedianPlot) + if yesno + obj.MedianPlot.Visible = 'on'; + else + obj.MedianPlot.Visible = 'off'; + end + end + end + + function yesno = get.ShowMedian(obj) + if ~isempty(obj.MedianPlot) + yesno = strcmp(obj.MedianPlot.Visible, 'on'); + end + end + + + function set.ShowWhiskers(obj, yesno) + if ~isempty(obj.WhiskerPlot) + if yesno + obj.WhiskerPlot.Visible = 'on'; + else + obj.WhiskerPlot.Visible = 'off'; + end + end + end + + function yesno = get.ShowWhiskers(obj) + if ~isempty(obj.WhiskerPlot) + yesno = strcmp(obj.WhiskerPlot.Visible, 'on'); + end + end + + end + + methods (Access=private) + function results = checkInputs(~, data, pos, varargin) + isscalarnumber = @(x) (isnumeric(x) & isscalar(x)); + p = inputParser(); + p.addRequired('Data', @(x)isnumeric(vertcat(x{:}))); + p.addRequired('Pos', isscalarnumber); + p.addParameter('Width', 0.3, isscalarnumber); + p.addParameter('Bandwidth', [], isscalarnumber); + iscolor = @(x) (isnumeric(x) & size(x,2) == 3); + p.addParameter('ViolinColor', [], @(x)iscolor(vertcat(x{:}))); + p.addParameter('MarkerSize', 36, @isnumeric); + p.addParameter('LineWidth', 0.75, @isnumeric); + p.addParameter('BoxColor', [0.5 0.5 0.5], iscolor); + p.addParameter('BoxWidth', 0.01, isscalarnumber); + p.addParameter('EdgeColor', [0.5 0.5 0.5], iscolor); + p.addParameter('MedianColor', [1 1 1], iscolor); + p.addParameter('ViolinAlpha', {0.3,0.15}, @(x)isnumeric(vertcat(x{:}))); + isscalarlogical = @(x) (islogical(x) & isscalar(x)); + p.addParameter('ShowData', true, isscalarlogical); + p.addParameter('ShowNotches', false, isscalarlogical); + p.addParameter('ShowMean', false, isscalarlogical); + p.addParameter('ShowBox', true, isscalarlogical); + p.addParameter('ShowMedian', true, isscalarlogical); + p.addParameter('ShowWhiskers', true, isscalarlogical); + validSides={'full', 'right', 'left'}; + checkSide = @(x) any(validatestring(x, validSides)); + p.addParameter('vHalf', 'full', checkSide); + validQuartilesStyles={'boxplot', 'shadow', 'none'}; + checkQuartile = @(x)any(validatestring(x, validQuartilesStyles)); + p.addParameter('qStyles', 'boxplot', checkQuartile); + p.addParameter('scpltBool', true, isscalarlogical); + p.addParameter('barpltBool', false, isscalarlogical); + + p.parse(data, pos, varargin{:}); + results = p.Results; + end + end + + methods (Static) + function [density, value, width] = calcKernelDensity(data, bandwidth, width) + if isempty(data) + error('Empty input data'); + end + [density, value] = ksdensity(data, 'bandwidth', bandwidth); + density = density(value >= min(data) & value <= max(data)); + value = value(value >= min(data) & value <= max(data)); + value(1) = min(data); + value(end) = max(data); + value = [value(1)*(1-1E-5), value, value(end)*(1+1E-5)]; + density = [0, density, 0]; + + % all data is identical + if min(data) == max(data) + density = 1; + end + + width = width/max(density); + end + end +end + diff --git a/test_cases/testviolinplot.m b/test_cases/testviolinplot.m index 51e2a15..530ec55 100644 --- a/test_cases/testviolinplot.m +++ b/test_cases/testviolinplot.m @@ -1,27 +1,29 @@ +figure(); +% One could use tiled layout for better plotting them but it would be +% incompatible with older versions +subplot(2,4,1); % TEST CASE 1 disp('Test 1: Violin plot default options'); load carbig MPG Origin Origin = cellstr(Origin); -figure vs = violinplot(MPG, Origin); ylabel('Fuel Economy in MPG'); xlim([0.5, 7.5]); - disp('Test 1 passed ok'); % TEST CASE 2 disp('Test 2: Test the plot ordering option'); grouporder={'USA','Sweden','Japan','Italy','Germany','France','England'}; -figure; +subplot(2,4,2); vs2 = violinplot(MPG,Origin,'GroupOrder',grouporder); disp('Test 2 passed ok'); xlim([0.5, 7.5]); % TEST CASE 3 disp('Test 3: Test the numeric input construction mode'); -figure +subplot(2,4,3); cats = categorical(Origin); catnames = (unique(cats)); % this ignores categories without any data catnames_labels = {}; @@ -37,11 +39,47 @@ % TEST CASE 4 disp('Test 4: Test two sided violin plots. Japan is being compared.'); -figure +subplot(2,4,4); C = colororder; vs4 = violinplot({thisData,repmat(thisData(:,5),1,7)},catnames_labels,'ViolinColor',{C,C(5,:)},'ViolinAlpha',{0.3 0.3}); xlim([0.5, 7.5]); disp('Test 4 passed ok'); +% Todo: scatter goes in the other side + +% TEST CASE 5 +disp('Test 5: Test shadow for quartiles.'); +subplot(2,4,5); +vs5 = violinplot(MPG, Origin, 'qStyles','shadow'); +ylabel('Fuel Economy in MPG'); +xlim([0.5, 7.5]); +disp('Test 5 passed ok'); + +% TEST CASE 6 +disp('Test 6: Test plotting only right side & bar plot, disable scatter.'); +subplot(2,4,6); +vs5 = violinplot(MPG, Origin, 'qStyles','boxplot', 'vHalf','right',... + 'scpltBool', false, 'barpltBool', true); +ylabel('Fuel Economy in MPG'); +xlim([0.5, 7.5]); +disp('Test 6 passed ok'); + +% TEST CASE 7 +disp('Test 7: Test plotting only left side & bar plot, and quartiles as boxplot.'); +subplot(2,4,7); +vs5 = violinplot(MPG, Origin, 'qStyles','shadow', 'vHalf','left',... + 'scpltBool', false,'barpltBool', true, 'ShowMean', true); +ylabel('Fuel Economy in MPG '); +xlim([0, 8]); +disp('Test 7 passed ok'); + +% TEST CASE 8 +disp('Test 8: Test plotting only left side scatter.'); +subplot(2,4,8); +vs5 = violinplot(MPG, Origin, 'qStyles','shadow', 'vHalf','left',... + 'scpltBool', false,'barpltBool', true, 'ShowMean', true); +ylabel('Fuel Economy in MPG '); +xlim([0, 8]); +disp('Test 8 passed ok'); %other test cases could be added here From 4b843ad9f7cad6a28f6ce55b73419d7c41c2eaaa Mon Sep 17 00:00:00 2001 From: mikelgg93 Date: Mon, 16 May 2022 13:30:54 +0200 Subject: [PATCH 2/6] 220516 MGG modified: Violin.m Added options for plotting only half violin on the right, left or full, independently of comparison or not. 'vHalf' Added plot quartiles options as shadow, boxplot or none. 'qStyles' Added plot data as histogram on the side. 'barpltBool' Added opt to disable scatter plot. 'scpltBool' modified: test_cases/testviolinplot.m Added new test cases to test this options. Change to subplots to prevent opening 7 figures. --- Violin.m | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/Violin.m b/Violin.m index 203359f..8c54c69 100644 --- a/Violin.m +++ b/Violin.m @@ -50,11 +50,11 @@ % Defaults to true % vHalf - Whether to do a half violin(left, right side) or % full. Defaults to full. - % plotQuartiles - Option on how to display quartiles, with a + % qStyles - Option on how to display quartiles, with a % boxplot, shadow or none. Defaults to boxplot. % scpltBool - Turns on/off the scatter plot. % Defaults to True. - % barPlotBool - Turns on/off the side histogram/bar plot. Defaults + % barpltBool - Turns on/off the side histogram/bar plot. Defaults % to false (so bar plot is off) % % @@ -146,13 +146,13 @@ % Defaults to true % 'ShowWhiskers' Whether to show the whiskers % Defaults to true - % 'vHalf' Whether to do a half violin(left, right side) or + % 'vHalf' Whether to do a half violin(left, right side) or % full. Defaults to full. - % 'qStyles' Option on how to display quartiles, with a + % 'qStyles' Option on how to display quartiles, with a % boxplot or as a shadow. Defaults to boxplot. % 'scpltBool' Turns on/off the scatter plot. Defaults to % True (so scatter plot is on) - % 'barPlotBool' Turns on/off the side histogram/bar plot. Defaults to + % 'barpltBool' Turns on/off the side histogram/bar plot. Defaults to % false (so bar plot is off) st = dbstack; % get the calling function for reporting errors From 78584305ad6a2d92c8c8ba5b96b0e8a69082f39d Mon Sep 17 00:00:00 2001 From: mikelgg93 Date: Mon, 16 May 2022 13:33:05 +0200 Subject: [PATCH 3/6] 220516 MGG modified: Violin.m Added options for plotting only half violin on the right, left or full, independently of comparison or not. 'vHalf' Added plot quartiles options as shadow, boxplot or none. 'qStyles' Added plot data as histogram on the side. 'barpltBool' Added opt to disable scatter plot. 'scpltBool' modified: test_cases/testviolinplot.m Added new test case, to test and show how do they work. --- test_cases/testviolinplot.m | 8 -------- 1 file changed, 8 deletions(-) diff --git a/test_cases/testviolinplot.m b/test_cases/testviolinplot.m index 530ec55..a921dee 100644 --- a/test_cases/testviolinplot.m +++ b/test_cases/testviolinplot.m @@ -72,14 +72,6 @@ xlim([0, 8]); disp('Test 7 passed ok'); -% TEST CASE 8 -disp('Test 8: Test plotting only left side scatter.'); -subplot(2,4,8); -vs5 = violinplot(MPG, Origin, 'qStyles','shadow', 'vHalf','left',... - 'scpltBool', false,'barpltBool', true, 'ShowMean', true); -ylabel('Fuel Economy in MPG '); -xlim([0, 8]); -disp('Test 8 passed ok'); %other test cases could be added here From d89089117175767efe4d2bb232f57cf761e9f06e Mon Sep 17 00:00:00 2001 From: mikelgg93 Date: Mon, 16 May 2022 13:55:40 +0200 Subject: [PATCH 4/6] Make testviolin a function --- test_cases/testviolinplot.m | 39 +++++++++++++++++-------------------- 1 file changed, 18 insertions(+), 21 deletions(-) diff --git a/test_cases/testviolinplot.m b/test_cases/testviolinplot.m index a921dee..7926881 100644 --- a/test_cases/testviolinplot.m +++ b/test_cases/testviolinplot.m @@ -1,3 +1,4 @@ +function testviolinplot() figure(); % One could use tiled layout for better plotting them but it would be % incompatible with older versions @@ -8,9 +9,7 @@ load carbig MPG Origin Origin = cellstr(Origin); vs = violinplot(MPG, Origin); -ylabel('Fuel Economy in MPG'); -xlim([0.5, 7.5]); -disp('Test 1 passed ok'); +plotdetails(1); % TEST CASE 2 disp('Test 2: Test the plot ordering option'); @@ -18,8 +17,7 @@ subplot(2,4,2); vs2 = violinplot(MPG,Origin,'GroupOrder',grouporder); -disp('Test 2 passed ok'); -xlim([0.5, 7.5]); +plotdetails(2); % TEST CASE 3 disp('Test 3: Test the numeric input construction mode'); @@ -34,44 +32,43 @@ thisData(1:length(MPG(cats == thisCat)),n) = MPG(cats == thisCat); end vs3 = violinplot(thisData,catnames_labels); -xlim([0.5, 7.5]); -disp('Test 3 passed ok'); +plotdetails(3); % TEST CASE 4 disp('Test 4: Test two sided violin plots. Japan is being compared.'); subplot(2,4,4); C = colororder; vs4 = violinplot({thisData,repmat(thisData(:,5),1,7)},catnames_labels,'ViolinColor',{C,C(5,:)},'ViolinAlpha',{0.3 0.3}); -xlim([0.5, 7.5]); -disp('Test 4 passed ok'); -% Todo: scatter goes in the other side +plotdetails(4); % TEST CASE 5 disp('Test 5: Test shadow for quartiles.'); subplot(2,4,5); vs5 = violinplot(MPG, Origin, 'qStyles','shadow'); -ylabel('Fuel Economy in MPG'); -xlim([0.5, 7.5]); -disp('Test 5 passed ok'); +plotdetails(5); % TEST CASE 6 disp('Test 6: Test plotting only right side & bar plot, disable scatter.'); subplot(2,4,6); vs5 = violinplot(MPG, Origin, 'qStyles','boxplot', 'vHalf','right',... 'scpltBool', false, 'barpltBool', true); -ylabel('Fuel Economy in MPG'); -xlim([0.5, 7.5]); -disp('Test 6 passed ok'); +plotdetails(6); % TEST CASE 7 disp('Test 7: Test plotting only left side & bar plot, and quartiles as boxplot.'); subplot(2,4,7); vs5 = violinplot(MPG, Origin, 'qStyles','shadow', 'vHalf','left',... 'scpltBool', false,'barpltBool', true, 'ShowMean', true); -ylabel('Fuel Economy in MPG '); -xlim([0, 8]); -disp('Test 7 passed ok'); - +plotdetails(7); +%other test cases could be added here +end +function plotdetails(n) +title(sprintf('Test %02.0f \n',n)); +ylabel('Fuel Economy in MPG '); +xlim([0, 8]); grid minor; +set(gca, 'color', 'none'); +xtickangle(-30); +fprintf('Test %02.0f passed ok! \n ',n); +end -%other test cases could be added here From 3f29d408de3e898b153ed3c32195b169d556caf1 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Miguel=20Garc=C3=ADa=20Garc=C3=ADa?= Date: Mon, 16 May 2022 14:01:42 +0200 Subject: [PATCH 5/6] Add files via upload --- test_violn_plots.png | Bin 0 -> 252695 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 test_violn_plots.png diff --git a/test_violn_plots.png b/test_violn_plots.png new file mode 100644 index 0000000000000000000000000000000000000000..488d089b901f928679231c9aecfff69db4db2b82 GIT binary patch literal 252695 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zWOr+M^~;p^q5m+Uy4?}F{X|f!pb-96gq=`*(Ksv5mo4t)3R2iltG>L+Z9U>=Dmv&$zQ#YcxD^i+ea_k}EBl5t$I{`kKn*-SJyDH0h)|*K z#QHBk-=uXb4eKSmQFa|gPfYXIYzn}Vk7(pN)oTlV3mNEJ>>5Nl z0FnHFJCRuv65rS$tyInGeUpEkd1cxlTAMmCAt~R*lSe+=&+VcHqDzow=#LcbOlB9ao89EXwO|p~9!>jI;H@%74E= z0bwn~6!ybCnDx!g7G`Goh=-LD{_^Y&;qH`6>-!&T5MF~*IxEEfenAv|^jNv{$^|xKnB2b>arUEq^sW096sBCXwY1=i z^CNNP=JK)h%0)Kju*p>-nA8Q5i;3P3o4xyIEdRWw&?x-td2qhaix+(d-apHikqkjR zAUfw4EZDvbQB?9KZzxCyHNMS`)mO4HH$qhUI(El`#~Z(YPX8zDoJaPO=cYdP_xDFf zM-w|P3$e+qZ%1I~3g3TMCzmY$cXjgb*TQF({GX!bfBzec`` Date: Tue, 17 May 2022 15:23:18 +0200 Subject: [PATCH 6/6] As requested, the parameters names have been changed, a small clean up was also performed. Removed the boolean parameter 'scpltBool' and 'barpltBool' in favour of 'DataStyles. HalfViolin - Whether to do a half violin(left, right side) or full. Defaults to full. QuartileStyle - Option on how to display quartiles, with a boxplot, shadow or none. Defaults to boxplot. DataStyle - Defines the style to show the data points. Opts: 'scatter', 'histogram' or 'none'. Default is 'scatter'. modified: Violin.m modified: test_cases/testviolinplot.m --- Violin.m | 123 ++++++++++++++++++------------------ test_cases/testviolinplot.m | 25 ++++++-- 2 files changed, 81 insertions(+), 67 deletions(-) diff --git a/Violin.m b/Violin.m index 8c54c69..19f646a 100644 --- a/Violin.m +++ b/Violin.m @@ -48,14 +48,12 @@ % Defaults to true % ShowWhiskers - Whether to show the whiskers % Defaults to true - % vHalf - Whether to do a half violin(left, right side) or + % HalfViolin - Whether to do a half violin(left, right side) or % full. Defaults to full. - % qStyles - Option on how to display quartiles, with a + % QuartileStyle - Option on how to display quartiles, with a % boxplot, shadow or none. Defaults to boxplot. - % scpltBool - Turns on/off the scatter plot. - % Defaults to True. - % barpltBool - Turns on/off the side histogram/bar plot. Defaults - % to false (so bar plot is off) + % DataStyle - Defines the style to show the data points. Opts: + % 'scatter', 'histogram' or 'none'. Default is 'Scatter'. % % % Violin Children: @@ -83,8 +81,8 @@ MedianPlot % scatter plot of the median (one point) NotchPlots % scatter plots for the notch indicators MeanPlot % line plot of the mean (horizontal line) - ViolinPlotQ % color diff the quartiles - BarPlot % alternative to the scatter plot, histograms + HistogramPlot % histogram of the data + ViolinPlotQ % fill plot of the Quartiles as shadow end properties (Dependent=true) @@ -102,7 +100,7 @@ ShowBox % whether to show the box ShowMedian % whether to show the median line ShowWhiskers % whether to show the whiskers - violinSide % whether to do a half violin(left, right side) or full + HalfViolin % whether to do a half violin(left, right side) or full end methods @@ -146,14 +144,12 @@ % Defaults to true % 'ShowWhiskers' Whether to show the whiskers % Defaults to true - % 'vHalf' Whether to do a half violin(left, right side) or + % 'HalfViolin' Whether to do a half violin(left, right side) or % full. Defaults to full. - % 'qStyles' Option on how to display quartiles, with a + % 'QuartileStyle' Option on how to display quartiles, with a % boxplot or as a shadow. Defaults to boxplot. - % 'scpltBool' Turns on/off the scatter plot. Defaults to - % True (so scatter plot is on) - % 'barpltBool' Turns on/off the side histogram/bar plot. Defaults to - % false (so bar plot is off) + % 'DataStyle' Defines the style to show the data points. Opts: + % 'scatter', 'histogram' or 'none'. Default is 'Scatter'. st = dbstack; % get the calling function for reporting errors namefun = st.name; @@ -205,7 +201,7 @@ else jitter = rand(size(data)); % only right side end - switch args.vHalf % this is more modular + switch args.HalfViolin % this is more modular case 'left' jitter = -1*(rand(size(data))); %left case 'right' @@ -214,45 +210,45 @@ jitter = 2*(rand(size(data))-0.5); end % Make scatter plot - if args.scpltBool - if ~isempty(data2) - jitter = 1*(rand(size(data))); %right - obj.ScatterPlot = ... - scatter(pos + jitter.*jitterstrength, data, 'filled'); - % plot the data points within the violin area - if length(densityC) > 1 - jitterstrength = interp1(valueC, densityC*widthC, data2); - else % all data is identical: - jitterstrength = densityC*widthC; - end - jitter = -1*rand(size(data2));% left - obj.ScatterPlot2 = ... - scatter(pos + jitter.*jitterstrength, data2, 'filled'); - else - obj.ScatterPlot = ... - scatter(pos + jitter.*jitterstrength, data, 'filled'); + switch args.DataStyle + case 'scatter' + if ~isempty(data2) + jitter = 1*(rand(size(data))); %right + obj.ScatterPlot = ... + scatter(pos + jitter.*jitterstrength, data, 'filled'); + % plot the data points within the violin area + if length(densityC) > 1 + jitterstrength = interp1(valueC, densityC*widthC, data2); + else % all data is identical: + jitterstrength = densityC*widthC; + end + jitter = -1*rand(size(data2));% left + obj.ScatterPlot2 = ... + scatter(pos + jitter.*jitterstrength, data2, 'filled'); + else + obj.ScatterPlot = ... + scatter(pos + jitter.*jitterstrength, data, 'filled'); - end - end - % Make histogram plot - if args.barpltBool - [counts,edges] = histcounts(data, size(unique(data),1)); - switch args.vHalf - case 'right' - obj.BarPlot= plot([pos-((counts')/max(counts))*max(jitterstrength)*2, pos*ones(size(counts,2),1)]',... - [edges(1:end-1)+max(diff(edges))/2; edges(1:end-1)+max(diff(edges))/2],'-','LineWidth',1, 'Color', 'k'); - case 'left' - obj.BarPlot= plot([pos*ones(size(counts,2),1), pos+((counts')/max(counts))*max(jitterstrength)*2]',... - [edges(1:end-1)+max(diff(edges))/2; edges(1:end-1)+max(diff(edges))/2],'-','LineWidth',1, 'Color', 'k'); - otherwise - fprintf([namefun, ' No histogram/bar plot option available for full violins, as it would look overcrowded.\n']) - end + end + case 'histogram' + [counts,edges] = histcounts(data, size(unique(data),1)); + switch args.HalfViolin + case 'right' + obj.HistogramPlot= plot([pos-((counts')/max(counts))*max(jitterstrength)*2, pos*ones(size(counts,2),1)]',... + [edges(1:end-1)+max(diff(edges))/2; edges(1:end-1)+max(diff(edges))/2],'-','LineWidth',1, 'Color', 'k'); + case 'left' + obj.HistogramPlot= plot([pos*ones(size(counts,2),1), pos+((counts')/max(counts))*max(jitterstrength)*2]',... + [edges(1:end-1)+max(diff(edges))/2; edges(1:end-1)+max(diff(edges))/2],'-','LineWidth',1, 'Color', 'k'); + otherwise + fprintf([namefun, ' No histogram/bar plot option available for full violins, as it would look overcrowded.\n']) + end + case 'none' end %% Plot the violin halfViol= ones(1, size(density,2)); if isempty(data2) % if no comparison data - switch args.vHalf + switch args.HalfViolin case 'right' obj.ViolinPlot = ... % plot color will be overwritten later fill([pos+density*width halfViol*pos], ... @@ -280,9 +276,9 @@ %% Plot the quartiles within the violin quartiles = quantile(data, [0.25, 0.5, 0.75]); flat= [halfViol*pos halfViol*pos]; - switch args.qStyles + switch args.QuartileStyle case 'shadow' - switch args.vHalf + switch args.HalfViolin case 'right' w = [pos+density*width halfViol*pos]; h= [value value(end:-1:1)]; @@ -316,7 +312,7 @@ if meanDensityWidth