Find/return value from each row in a big matrix that corresponds with a condition/value
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Dear All Community members,
I have a big matrix ("A") and want to return values from an array "x" for each row when a condition/value is met in matrix A.
A simplified example is given below;
A=[0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1 1 1 1 1 1 1 1 1 1; 0 0.15 0.30 0.45 0.60 0.75 0.90 1 1 1 1 1 1 1 1 1 1 1 1 1 1; 0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5 0.55 0.6 0.65 0.7 0.75 0.8 0.85 0.9 0.95 1];
x=[0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20];
Condition, c=0.9
I want to find in matrix "A" the first value that meets the condition in "c" and return the corresponding values from "x". I.e. the resulting vector shall be= 9,6,18.
Any help or tips is deeply appreciated.
Thanks in advance
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Answers (4)
Cris LaPierre
on 10 Aug 2020
Is the order of the resulting vector important?
You can just do a normal equality comparison, then use any to create a logical vector displaying if the corresponding column contains at least one true value.
A=[0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1 1 1 1 1 1 1 1 1 1; 0 0.15 0.30 0.45 0.60 0.75 0.90 1 1 1 1 1 1 1 1 1 1 1 1 1 1; 0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5 0.55 0.6 0.65 0.7 0.75 0.8 0.85 0.9 0.95 1];
x=[0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20];
c=0.9;
D=A==c;
ind = any(D,1);
x(ind)
ans = 1×3
6 9 18
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Cris LaPierre
on 10 Aug 2020
Edited: Cris LaPierre
on 10 Aug 2020
A=[0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1 1 1 1 1 1 1 1 1 1;
0 0.15 0.30 0.45 0.60 0.75 0.90 1 1 1 1 1 1 1 1 1 1 1 1 1 1;
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5 0.55 0.6 0.65 0.7 0.75 0.8 0.85 0.9 0.95 1];
x=[0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20];
c=0.9;
D=A-c;
% You only want greater than or equal to, so set everything less than to a large positive value
D(D<0)=999;
[~,ind] = min(D,[],2)
x(ind)
Bruno Luong
on 10 Aug 2020
Edited: Bruno Luong
on 10 Aug 2020
"Let me specify, I only want the first time the value appears in each row and if the value dont appear I want closest value."
Then use MIN rather than FIND, and no need to fix emperically the tolerance.
c = 0.9;
[~,col] = min(abs(A-c),[],2);
x(col)
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