store the index of nanvalues

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Tiago Dias
Tiago Dias el 2 de Mzo. de 2018
Comentada: Jos (10584) el 2 de Mzo. de 2018
Hi, So i got a matrix, 5 observations for 2 variables
A = 1 2
3 4
3 NaN
Nan 5
Nan 7
I wanna store the position when the value of A is a number. so for variable 1, i got values in row 1,2 and 3. for variable 2, i got values in rows 1 2 4 5
so the result of what I want is:
Answer = 1 1
2 2
3 NaN (because A(3,2) is not a number)
NaN 4
Nan 5
or
Answer 2 = 1 1
2 2
3 4
- 5

Respuestas (2)

Jos (10584)
Jos (10584) el 2 de Mzo. de 2018
Editada: Jos (10584) el 2 de Mzo. de 2018
% data
A = [ 1 2
3 4
3 NaN
NaN 5
NaN 7 ]
% engines
tf = ~isnan(A)
Answer1 = nan(size(A))
[Answer1(tf), ~] = find(tf)
Answer2 = arrayfun(@(k) find(A(:,k)), 1:size(A,2), 'un', 0)
  2 comentarios
Tiago Dias
Tiago Dias el 2 de Mzo. de 2018
what is the result of your answer2? because it's not the same of what i described in the question, since i think i would prefer answer2 over answer1 since for my main data, i have lot of variables with nans, so i would like to make a reorder, so i see the nums firstly
Jos (10584)
Jos (10584) el 2 de Mzo. de 2018
Answer2 is a cell array. Each cell contains a vector with numbers. The first cell corresponds to the first column of A, and holds the rows of that column that are not NaN. Since the amount of non-NanS varies between columns, the lengths of the vectors differ between cells.

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KL
KL el 2 de Mzo. de 2018
Editada: KL el 2 de Mzo. de 2018
Just an approach with cellarrays.
A = [1 2
3 4
3 NaN
NaN 5
NaN 7];
res = cellfun(@(x) find(~isnan(x)),num2cell(A,1),'uni',0)
result:
res{1} =
1
2
3
res{2} =
1
2
4
5
  5 comentarios
Tiago Dias
Tiago Dias el 2 de Mzo. de 2018
KL code does whata i prefer over the answer1 of Jos. thanks mate.
Tiago Dias
Tiago Dias el 2 de Mzo. de 2018
Editada: Tiago Dias el 2 de Mzo. de 2018
@KL i tried to do
C = cell2table(res)
so i could get
1 1
2 2
3 4
Nan 5
but i get an error because the matrice is not consistent, could i do that in another way?, because the 1st one has 3 numbers, and the 2nd one has 4
I also tried this, but it only saves for the last j
[n,m] = size(A);
for j = 1:m
table = res{j};
end

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