Is it possible to make pdf plot from matrix with mean value?

need code for this type

Answer 1

[Yusuf Suer Erdem]

Try these codes below please;

clc;
clear;
close all;

Data=rand(32,247); 
data_mean=mean(Data,2);
plot(data_mean);
ax = gca;
exportgraphics(ax,'LinePlot.pdf')

[Maddy]

Thank you so much for your answer @Yusuf Suer Erdem

But I was looking for 2 things together:

1.probabilty distribution curve of matrix (100*2000)

2.Mean value line

is there any way to show them together. like mean value line is passig through probabilty distribution curve.

[Yusuf Suer Erdem]

Try these codes below;

clc;
clear;
close all;

r2 = randi([1 100],100,2000);
x = r2(:,1);
pd = fitdist(x,'Normal');
m = mean(pd);
x_pdf = [1:0.1:100];
y = pdf(pd,x_pdf);

figure
histogram(x,'Normalization','pdf')
line(x_pdf,y)

ax = gca;
exportgraphics(ax,'LinePlot.pdf')

[Yusuf Suer Erdem]

hi Mohammed, if you are having troubles when you change 'r2' make sure your new matrix has 'double' data type. and also if you see there is 'x_pdf = [1:0.1:100];' matrix there. that matrix should have same amount of columns as like your new r2 does.

[Maddy]

r2 which is P has 100 rows and 2001 columns. and x_pdf giving 1 row and 991 column.

clear;

close all;

r2 = P; % Matrix which is 100x2001 double

x = r2(:,1); %can you please explain this line?

pd = fitdist(x,'Normal');

m = mean(pd);

x_pdf = [1:1:2001]; %is it correct to match the r2 column which is 2001?

y = pdf(pd,x_pdf);

figure

histogram(x,'Normalization','pdf')

line(x_pdf,y)

ax = gca;

exportgraphics(ax,'LinePlot.pdf') %showing error in this line(Error using exportgraphics

Invalid or deleted object).

[Yusuf Suer Erdem]

could u provide me your P matrix. put it in .mat file and share here please.

Answer 2

[Maddy]

Here is the P matrix.

Answer 3

[Yusuf Suer Erdem]

Let's see. I used these codes below and it did not give me error. But the 'P' matrix ' s values are pretty small. So I can not see them clearly on the graph.

x = double(P(:));

That command takes the P matrix and converts it into all column vector because fitdist() requires that.

clc; clear; close all;

load('P.mat');
x = double(P(:));
pd = fitdist(x,'Normal');
m = mean(pd);
x_pdf = [1:0.1:100];
y = pdf(pd,x_pdf);
figure
histogram(x,'Normalization','pdf')
line(x_pdf,y)
ax = gca;
exportgraphics(ax,'LinePlot.pdf')