How to use a function like reshape but for indivisible parameters?

I am trying to compare two different sets of data containing ozone concentrations, one set I have collected, the other set has been collected by a third party. I have 64 data points and the third party has 12. How can I use a function like reshape to account for the data sets being indivisible between each other?

Flight1O3 = Aug2Flight1.O3_ppb(:); % the column with 64 data entries
Alt_O3 = reshape(Flight1O3, [], 12); % trying to reshape the 64 into 12

Answer 1

[Voss]

You'll have to put some additional elements in the vector for the reshape operation to work:

A = rand(68,1);

N = ceil(numel(A)/12)*12; % next multiple of 12

A(end+1:N) = NaN; % extend A with NaNs to size N

A_new = reshape(A,[],12);

disp(A_new)

    0.2416    0.7705    0.7404    0.9881    0.7055    0.3564    0.7440    0.3907    0.1715    0.0664    0.0051    0.6725
    0.4309    0.4235    0.3445    0.4761    0.7249    0.0805    0.4457    0.7846    0.3759    0.1771    0.9608    0.2251
    0.1951    0.8048    0.5579    0.8783    0.0815    0.6057    0.8640    0.7410    0.7466    0.3297    0.3103       NaN
    0.5070    0.8626    0.3019    0.2127    0.5446    0.5728    0.7612    0.4972    0.7465    0.0378    0.1313       NaN
    0.3798    0.2026    0.2644    0.2006    0.0587    0.0296    0.7764    0.5126    0.9105    0.9769    0.4389       NaN
    0.5558    0.0182    0.1631    0.0883    0.6959    0.7703    0.2238    0.5011    0.0872    0.7769    0.1082       NaN

If you have R2023b or newer you can use the resize function to do that:

A = resize(A,N,'FillValue',NaN); % extend A with NaNs to size N

A_new = reshape(A,[],12);

disp(A_new)

    0.2416    0.7705    0.7404    0.9881    0.7055    0.3564    0.7440    0.3907    0.1715    0.0664    0.0051    0.6725
    0.4309    0.4235    0.3445    0.4761    0.7249    0.0805    0.4457    0.7846    0.3759    0.1771    0.9608    0.2251
    0.1951    0.8048    0.5579    0.8783    0.0815    0.6057    0.8640    0.7410    0.7466    0.3297    0.3103       NaN
    0.5070    0.8626    0.3019    0.2127    0.5446    0.5728    0.7612    0.4972    0.7465    0.0378    0.1313       NaN
    0.3798    0.2026    0.2644    0.2006    0.0587    0.0296    0.7764    0.5126    0.9105    0.9769    0.4389       NaN
    0.5558    0.0182    0.1631    0.0883    0.6959    0.7703    0.2238    0.5011    0.0872    0.7769    0.1082       NaN