Merge matrices into one matrix based on column order

Hy All, I'm new Matlab user i need to merge/interlace/combine a number of matrix in one , i have fond on network

A1 =[1 2;
    3 4]

A2 =[5 6;
    7 8]

MA = reshape([A1;A2],size(A1,1),[]) 
MA =
   1     5     2     6
   3     7     4     8

Can any on help me to generalised it fo n Matrix of course with the same dimension (rows and columns), i need to generalise it for n number (a loop , for i :1 to n), best regards

[Stephen23]

The best solution is simply to not create lots of separate variables, but to store them all in one variable (numeric, cell, struct). This means you need to avoid having lots of numbered variables, and can simply access that one variable using indexing.

How do you create these numbered variables? If you tell us how they were made we can show you a much neater, more robust, and faster way to do it.

Whatever you do, do NOT try to create or access lots of numbered variables. This is very slow, buggy, and obfuscated way to code, as has been explained a thousand times on this forum:

http://www.mathworks.com/matlabcentral/answers/196952-how-to-create-new-variables-in-batches-with-strcat

[judy abbott]

These numbered variables are obtained from instrumental measurements (thermometer and pressure gauge) as Output-files (txt format without heading), reading these files allows the matrices creation (Temperature in first column and Pressure in second one) (Time in rows) and the file name indicates the name instrument.

For the matrix A1
       # Temperature #  Pressure #
Time   #     1       #      2    #
Time   #     3       #      4    #

The variables arranged to an statistically and plotting futures processus

[Stephen23]

"reading these files allows the matrices creation" How? What code are you using to import them into MATLAB?

[judy abbott]

I import them by:

[M,delimiterOut]=importdata('file1.txt')

Answer 1

[Stephen23]

You don't tell us anything about how you are reading these file into MATLAB, so here is a general overview of how to solve your original question:

% read the file data into a cell array:
N = {list of filenames};
C = cell(1,numel(N));
for k = 1:numel(N)
    C{k} = csvread(N{k});
end
% concatenate data and rearrange:
M = vertcat(C{:});
out = reshape(M,2,[])

You also did not define exactly what you mean by "interlace", but once you have all of the data in one matrix M it is easy to experiment with reshape.

[judy abbott]

These numbered variables are obtained from instrumental measurements (thermometer and pressure gauge) as Output-files (txt format without heading), reading these files allows the matrices creation (Temperature in first column and Pressure in second one) (Time in rows) and the file name indicates the instrument name.

For the matrix A1
         # Temperature #  Pressure #
  Time   #     1       #      2    #
  Time   #     3       #      4    #

The variables arranged to an statistically and plotting futures processus