How to rearrange data by cutting rows and placing in new columns or using cell array?

I have a folder of files that are all lengths of multiples of 128 (one may be 768 and another may be 1024) with 4 columns of data points at each point. I need to reaarrange them so that each set of 128x4 is placed side by side in columns. So beginning with data with dimensions of 768x4 and ending with 128x24. Another alternative that would also work for me would be to place each extracted 128x4 set into a cell array for each set of data.

I am not sure the best way to do this and I'm sure it is easier than I am making it, but I have not succeed when trying to use mat2cell or cbind/rbind.

Answer 1

[Fangjun Jiang]

reshape()?

[Undergrad]

I have been trying to use reshape, but I am struggling to have the data remain in the same order, since the 128x4 block must remain constant.

[Fangjun Jiang]

provide a small example data to explain what you want, for example how to reshape from 12x4 to 3x16?

[Fangjun Jiang]

or is this sufficient?

a=rand(12,4);
b=mat2cell(a,2*ones(6,1),4)
c=cell2mat(b')

[Undergrad]

The ordering on the datapoints in each 128x4 set must keep the same orientation. The issue is that in data collection, these sets have been placed in consecutive rows (making the size of the whole array something like 1024x4). I need to move each of these 128x4 sets of data into columns that are side by side without changing the actual 128x4 set itself.

[Undergrad]

Yes that worked perfectly. Thank you Fangjun Jiang!