How to rank data and set corresponsing values
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I have data, 10 columns and over 200 rows. First two rows are:
0,004130861 0,001492476 -0,001031031 0,0033182 0,000327482 0,000510943 0,00083309 0,001345621 -0,002916075 6,51063E-05
0,003489052 0,001341031 -0,000738983 0,00290706 0,0001296 0,001039578 0,00099295 0,001224308 -0,002254135 -8,60491E-05
I need to rank the data from 1 - 10, so it becomes
1 3 9 2 7 6 5 4 10 8
1 3 9 2 7 5 6 4 10 8
and then set lowest value here to 1 and highest value to -1, seeting all other to 0, so it becomes
-1 0 0 0 0 0 0 0 1 0
-1 0 0 0 0 0 0 0 1 0
And so on for all other rows
How do i code this?
1 件のコメント
Benjamin Thompson
2022 年 3 月 14 日
What does "rank" mean in your problem? I do not see the input to output relationship in the problem statement. Are you sorting them from high to low, or low to high, along each row? Then the final output has one +1, one -1, and the rest are zeros, where +1 means the max and -1 means the min.
回答 (1 件)
Scott MacKenzie
2022 年 3 月 14 日
編集済み: Scott MacKenzie
2022 年 3 月 14 日
Assuming the rankings are just used to explain your final goal, the following seems to work:
M1 = [0.004130861 0.001492476 -0.001031031 0.0033182 0.000327482 0.000510943 0.00083309 0.001345621 -0.002916075 6.51063E-05; 0.003489052 0.001341031 -0.000738983 0.00290706 0.0001296 0.001039578 0.00099295 0.001224308 -0.002254135 -8.60491E-05];
M2 = zeros(size(M1));
[~, idxMin] = min(M1, [], 2);
[~, idxMax] = max(M1, [], 2);
M2(:,idxMin) = 1;
M2(:,idxMax) = -1;
M1 % initial matrix
M2 % result
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