how to create matrix with multiple column vectors?

I have to create channel matrix for 16 users. each column contains information about channel of particular user.my matrix size will be 128x16

[Birdman]

You have a 128x1 vector and you want to expand it to 128x16?

[prabhabathi devi chandrasekaran]

No, not like that. I have combine all 128x1 column vectors into single matrix for further implementation.I found the answer thanks for your response.

[Stephen23]

"I have combine all 128x1 column vectors into single matrix for further implementation"

Storing them in one array right from the very beginning would be simpler, neater, and more efficient: most like this could be achieved using some basic indexing. Keep data together as much as possible always makes processing that data simpler.

https://www.mathworks.com/matlabcentral/answers/304528-tutorial-why-variables-should-not-be-named-dynamically-eval

Answer 1

[Pawel Jastrzebski]

Regarding 'information about channel of particular user':

1. Is it all numerical values?
2. Is it mixed data i.e. channel 1 holds a number and channel two a text?

In case 1, you can use a solution as simple as matrix or table to store your information.

Consider the following example:

NoOfUsers    = 16;
NoOfChannels = 128;

% 1) MATRIX

% create an empty matrix
M_UserChannel(NoOfChannels,NoOfUsers) = 0;

% 2) TABLE

T_UserChannel = array2table(M_UserChannel);

% CREATE COLUMN NAMES and ROW NAMES

% preallocate memory for the user names
users{1,NoOfUsers} = [];

for i=1:NoOfUsers
    users{1,i} = ['user' num2str(i)];
end

clear i;

% preallocate memory for the channel names
rows{1,NoOfChannels} = [];
for i=1:NoOfChannels
    rows{1,i} = ['channel' num2str(i)];
end

T_UserChannel.Properties.VariableNames = users;
T_UserChannel.Properties.RowNames      = rows;

clear i rows users;

If the data is mixed, you can still use Matlab's table to store the information, on condition that:

• Users are stored in rows
• Channel information is stored in column (as columns within one table can hold data of various types - as long as you stick to one data type per column)

[prabhabathi devi chandrasekaran]

Thanks for your response