How to split data into multiple "chunks"?

Is there an algorithm to split a dataset of a few thousand points into multiple "chunks" of length 'n'?

Answer 1

[KSSV]

Read about reshape.

A = rand(1,1000) ;
n = 100 ; 
iwant = reshape(A,100,[]) ; 
size(iwant)
iwant(:,1)   % 10 columns of 100 rows 

[Xuan Gip]

is there any way to reshape based on a pattern? For example, I have a data that goes 1 1 1 1 2 2 2 2 2 2 1 1 1 1 1 and I want the reshape the entire data set to start from that first "1" to the last "1" on the second group of 1s.

Answer 2

[Ameer Hamza]

Another approach is to create a cell array.

M = rand(1, 1000);
n = 100;
C = mat2cell(M, 1, n*ones(numel(M)/n, 1))

[j bar]

I get the following error:

This is probably due to 'M' not being an integer when divided by 'n'. What is the best way to fix this?

Error using ones
Size inputs must be integers.

[Ameer Hamza]

Your number of elements in vector M must be a multiple of 'n'. If it is something else, you will get that error.

[KSSV]

1. Try to make M divisble by n, by appending NaN's to your array.
2. Or make first few chunks of same size and leave last chunk with reduced elements