How to rank data and set corresponsing values

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?

[Benjamin Thompson]

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.

Answer 1

[Scott MacKenzie]

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

M1 = 2×10

0.0041 0.0015 -0.0010 0.0033 0.0003 0.0005 0.0008 0.0013 -0.0029 0.0001 0.0035 0.0013 -0.0007 0.0029 0.0001 0.0010 0.0010 0.0012 -0.0023 -0.0001

M2 % result

M2 = 2×10

-1 0 0 0 0 0 0 0 1 0 -1 0 0 0 0 0 0 0 1 0