How do I create a matrix with specific values?

Hi, I have a matrix (6x21) whose values ​​are those found experimentally. Let's call it: expbasket

I want to calculate the error between the obtained matrix and a matrix having real values.

The real values ​​are in row order: -9; -6; -3; 3; 6; 9 and every columns it's the same.

So I have to have a matrix like this:

realvalue= 6x21

-9 -9 -9 ...

-6 -6 -6 ...

-3 -3 3 ...

3 3 3 ...

6 6 6 ...

9 9 9 ...

By calculating the error, I mean the following operation between matrices:

errorbasket= realvalue - expbasket;

This should be another matrix 6x21;

Next I want to average the values ​​of each column. In order to obtain a vector of 21 elements. Where each element of this vector is the average of the elements of each column of the matrix errorbasket

[the cyclist]

FYI, there is a very good tutorial that you might find useful for learning basic operations like these: MATLAB Onramp.

Answer 1

[DGM]

Something like this:

expbasket = randi([-9 9],6,21); % placeholder data
rvalue = [-9; -6; -3; 3; 6; 9]; % don't need the whole matrix
errbasket = mean(rvalue - expbasket,1)

errbasket = 1×21

-1.3333 -1.0000 -1.6667 3.5000 -1.6667 -3.5000 -0.5000 2.3333 -1.3333 1.6667 0.8333 -1.3333 -2.8333 -5.1667 -4.5000 0.3333 2.0000 -1.3333 -2.6667 -1.3333 -0.5000

If you really truly want the reference array to be expanded to 6x21, you can do this instead:

rvalue = repmat([-9; -6; -3; 3; 6; 9],[1 21]);