MATLAB: Greetings, Anyway to help to create ridgeline by MATLAB

histogramjoyplotrridgelinestacked plots

Greetings,
Anyway to help to create ridgeline by MATLAB as the attache link please?
https://www.data-to-viz.com/graph/ridgeline.html

Best Answer

Here's a demo that creates a number of guassian distributions as input. The code produces an appropriate number of contiguous subplots where you can set the left, right, upper, and lower margins. Then it uses histfit() to compute and plot the density functions of each data. The code extracts the (x,y) values of the density curve and uses them to form a colored patch which replaces the histfit() plots. The axis limits and linked and some plot cosmetics are done to make the plot similar in appearance to the link you provided.
See inline comments for details. 
% Generate n distributions
n = 8; % number of distributions
mu = linspace(0,100,n);
sd = (rand(size(mu)) +1).*2;
nSamp = 100; %number of samples per dist.
data = arrayfun(@normrnd,mu,sd,ones(size(mu)),nSamp.*ones(size(mu)),'UniformOutput',false); % req. stats & ML toolbox
yLabs = num2cell(char(64+cumsum(ones(1,n))));
Now we have two key input variables.
  1. data which is a 1 x n cell array where each element is a 1xm vector of data that will be used to compute a distribution.
  2. yLabs : a 1 x n cell array of characters used to label each distribution along the y axis. 
% Generate figure.
fh = figure();
% Compute axes positions with contigunous edges
n = numel(data); 
margins = [.13 .13 .12 .15]; %left, right, bottom, top
height = (1-sum(margins(3:4)))/n; % height of each subplot
width = 1-sum(margins(1:2)); %width of each sp
vPos = linspace(margins(3),1-margins(4)-height,n); %vert pos of each sp
% Plot the histogram fits (normal density function)
% You can optionally specify the number of bins
% as well as the distribution to fit (not shown,
% see https://www.mathworks.com/help/stats/histfit.html)
% Note that histfit() does not allow the user to specify
% the axes (as of r2019b) which is why we need to create 
% the axes within a loop.
% (more info: https://www.mathworks.com/matlabcentral/answers/279951-how-can-i-assign-a-histfit-graph-to-a-parent-axis-in-a-gui#answer_218699)
% Otherwise we could use tiledlayout() (>=r2019b)
% https://www.mathworks.com/help/matlab/ref/tiledlayout.html
subHand = gobjects(1,n);
histHand = gobjects(2,n);
for i = 1:n
    subHand(i) = axes('position',[margins(1),vPos(i),width,height]); 
    histHand(:,i) = histfit(data{i});
end
% Link the subplot x-axes
linkaxes(subHand,'x')
% Extend density curves to edges of xlim and fill.
% This is easier, more readable (and maybe faster) to do in a loop. 
xl = xlim(subHand(end));
colors = jet(n); % Use any colormap you want
for i = 1:n
    x = [xl(1),histHand(2,i).XData,xl([2,1])]; 
    y = [0,histHand(2,i).YData,0,0]; 
    fillHand = fill(subHand(i),x,y,colors(i,:),'FaceAlpha',0.4,'EdgeColor','k','LineWidth',1);
    % Add vertical ref lines at xtick of bottom axis
    arrayfun(@(t)xline(subHand(i),t),subHand(1).XTick); %req. >=r2018b
    % Add y axis labels
    ylh = ylabel(subHand(i),yLabs{i}); 
    set(ylh,'Rotation',0,'HorizontalAlignment','right','VerticalAlignment','middle')
end
% Cosmetics
% Delete histogram bars & original density curves 
delete(histHand)
% remove axes (all but bottom) and 
% add vertical ref lines at x ticks of bottom axis
set(subHand(1),'Box','off')
arrayfun(@(i)set(subHand(i).XAxis,'Visible','off'),2:n)
set(subHand,'YTick',[])
set(subHand,'XLim',xl)
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