MATLAB: Updating the histogram in a correlation matrix after creating the matrix plot

correlation matrix

I have this code which makes a correlation matrix. I want to create the matrix plot as below and later I want to update the histogram with different sets. Any idea please?
% your example code
Fields = [1, 4, 5];
Fields_time = Fields +16;
MT_All = rand(100,26);
% MT_All = rand(100,9);
VariableNames={'sigma','sigma','sigma','tau','tau','tau','mNPV'}; % changed to ensure valid syntax
Mat_All_1_4_5 = [MT_All(:,Fields), MT_All(:,Fields_time), MT_All(:,end-1)];
figure
c = corrplot(Mat_All_1_4_5, 'varNames', VariableNames);
% get current figure handle
fh = gcf;
% find x and y label strings that are not empty within subplots
yLabelN = find(cell2mat(arrayfun(@(dIn)~isempty(dIn.YLabel.String),fh.Children,'UniformOutput',false)));
xLabelN = find(cell2mat(arrayfun(@(dIn)~isempty(dIn.XLabel.String),fh.Children,'UniformOutput',false)));
% rename y labels
for ik = 1:length(yLabelN)
if ik <= 3
fh.Children(yLabelN(ik)).YLabel.String = sprintf('\\sigma_{%d}',Fields(ik));
fh.Children(xLabelN(ik)).XLabel.String = sprintf('\\sigma_{%d}',Fields(ik));
elseif ik <=6
fh.Children(yLabelN(ik)).YLabel.String = sprintf('\\tau_{%d}',Fields(ik-3));
fh.Children(xLabelN(ik)).XLabel.String = sprintf('\\tau_{%d}',Fields(ik-3));
else
fh.Children(yLabelN(ik)).YLabel.String = sprintf('m_{NPV}');
fh.Children(xLabelN(ik)).XLabel.String = sprintf('m_{NPV}');
end
end

Best Answer

  • [r,p,h] = corrplot(Mat_All_1_4_5, 'varNames', VariableNames);% change here pass handle output
    h contains handles to plotted graphic object
    type h in command window
    h
    You will see
    h =
    7×7 graphics array:
    Histogram Line Line Line Line Line Line
    Line Histogram Line Line Line Line Line
    Line Line Histogram Line Line Line Line
    Line Line Line Histogram Line Line Line
    Line Line Line Line Histogram Line Line
    Line Line Line Line Line Histogram Line
    Line Line Line Line Line Line Histogram
    Now all the diagonal elements are histogram
    either generate logical diagonal matrix and index it or use subs (1,1) (2,2) (3,3),... (7,7)
    For example
    h(2,2).Data = rand(100,1)