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How to considering another column in this code?

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Dear all, I use this code to get an average of certain columns namely rrr24 row-by-row for all tables inside a cell:
C1 = mean(cell2mat(cellfun(@(t) (t.rrr24),C1,'UniformOutput',false)),2);
Now I want to develop this code for considering another column namely PRECIP in it. I do it like this:
C1_1 = mean(cell2mat(cellfun(@(t) (t.rrr24),C1,'UniformOutput',false)),2);
C1_2 = mean(cell2mat(cellfun(@(t) (t.PRECIP),C1,'UniformOutput',false)),2);
C1 = [C1_1 C1_2];
But in order to summarize my code; is it possible to do this in one line?

  3 Comments

Behzad Navidi
Behzad Navidi on 2 Jun 2020
Dear Ameer Hamza, I add a small sample of my data here; And here is the code that I use now to gain an answer, which gains me desire output.
C1_1 = mean(cell2mat(cellfun(@(t) (t.rrr24),sample,'UniformOutput',false)),2);
C1_2 = mean(cell2mat(cellfun(@(t) (t.PRECIP),sample,'UniformOutput',false)),2);
C1 = [C1_1 C1_2];
But I wanna know is it possible to summarize these three lines in just one line?
Thank you so much
Ameer Hamza
Ameer Hamza on 2 Jun 2020
Converting it to a single line might be possible, but that will likely make the statements quite complex.
A different question might be: do you want to do it for this specific case of two columns, or do you want to extend it to multiple columns without the need to write each line separately.

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Accepted Answer

Daniel Abajo
Daniel Abajo on 2 Jun 2020
Hello Behzad...
I dont like new matlab objects like table...nothing better than bulk of numbers... sometimes in single column better, all togheter in ram...
well my solution for you.... all means in 1 way...
load('clc')
sample2=cellfun(@(x) table2array(x),sample,'unif',false);
mean([sample2{:}],1)
ans =
Columns 1 through 11
0.4765 0.4842 0.4854 0.5023 0.5172 0.4840 0.5117 0.5423 0.4865 0.5054 0.4968
Column 12
0.4622

  1 Comment

Daniel Abajo
Daniel Abajo on 2 Jun 2020
Sorry, i made a mistake, i assumed that you wanted historic means in row.... :s... if you want means between samples, as i see in your example... this is the code, just concatenate the samples in 3rd dimension and make the mean in 3rd dimension...
load('clc')
% Vectorize
sample2=cellfun(@(x) table2array(x),sample,'unif',false);
sample2=mean(cat(3,sample2{:}),3);
>> isequal(C1,sample2(:,[3,1]))
ans =
logical
1

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