matlab violinplot 参数MATLAB 中的violinplot函数可以用来绘制核密度估计图,这是一种新型的非参数密度估计方法,能更真实地描绘数据的分布。下面是violinplot的一些主要参数及其解释: 1.Data: 这是您要绘制的数据。它应该是一个向量或矩阵。 2.'Strings': 这是与数据点对应的类别标签。 3.'Color': 用于定义核...
% 平均值线颜色 'medc','k'); % 中位数线颜色 hTitle = title('Violin plot'); hXLabel = xlabel('Samples'); hYLabel = ylabel('\Delta [yesno^{-2}]'); 4. 细节优化 为了插图的美观,对图形细节等进行美化: % 坐标轴美化 set(gca, 'Box', 'off', ... % 边框 'LineWidth',1,... ...
完整代码: functionax=ggThemeViolin(varargin)%@author:slandarer%%参数说明:%---%AxesTheme|坐标区域风格|'flat'/'flat_dark'/'camouflage'/'chalk'/%'copper'/'dust'/'earth'/'fresh'/'grape'/%'grass'/'greyscale'/'light'/'lilac'/'pale'%'sea'/'sky'/'solarized'%%HDLset|句柄集合%获取要处理的...
c) Plot Violins on the desired x-position Notes: 1) This function is not perfect. Please modify it as you like. 2) Please do consider the function by Jonas: "Violin Plots for plotting multiple distributions (distributionPlot.m)" which gets you the histograms as shape. ...
2.1 使用violinplot函数绘制小提琴图 假设你已经下载并安装了violinplot工具箱,可以使用以下代码绘制小提琴图: 2.2 自定义小提琴图 violinplot函数提供了多种参数用于自定义小提琴图的外观。例如,你可以通过以下方式调整小提琴图的颜色、宽度和透明度: 2.3 绘制分组小提琴图 ...
Violinplot工具共包含三个文件,定义小提琴图类的Violin.m类文件,调用小提琴类的构造函数violinplot.m,以及一个示例文件testviolinplot.m。为了方便展示,小编已经对示例文件做了一定程度上的修改,详见下方示例代码。Violinplot可作为boxplot工具箱的直接替代品,当然不包括命名参数。附加的构造函数参数包括小提琴图的宽度、...
The interpretability of aviolinplotcan be challenging. Particularly, the width of the violin doesn't always have a scale associated with it, e.g. when the grouping data is categorical as inThe String Sectionabove. Furthermore, when the range of the data is known to be limited in exten...
% This function generates a violin plot for each dataset provided as input. % Violin plots are estimated from histcounts MATLAB function. % The thick line in the box represents the mean, while the thin line represents the median. %
MATLAB R2024b introduces a newviolinplotwith a grouping option. data = random(makedist('Weibull'),1000,8); xgroup = categorical(["Post 1m","Post 6m"]); colorGroup = categorical(["med off rest","med off walk",... "med on rest","med on walk"]); ...
violinplotis meant as a direct substitute forboxplot(excluding named arguments). Additional constructor parameters include the width of the plot, the bandwidth of the kernel density estimation, and the X-axis position of the violin plot.