Hi! I am trying to find a way to calculate the 90% percentile of a matrix (1,n) . I provide an example below, and the value I would need to find is 0.292. (Note the matrix will changes in length). How could this be done?
[0.289, 0.254, 0.287, 0.292, 0.289, 0.267, 0.289, 0.304, 0.284, 0.282]

 Accepted Answer

Here are two possibilities, the second of which gives you the exact value in your Question:
v = [0.289, 0.254, 0.287, 0.292, 0.289, 0.267, 0.289, 0.304, 0.284, 0.282];
Out1 = prctile(v, 90)
Out2 = interp1(linspace(1/numel(v),1,numel(v)), sort(v), 0.9)
producing:
Out1 =
0.2980
Out2 =
0.2920
.

6 Comments

Out2 was exactly what I was looking for. Thanks!
As always, my pleasure!
Hi Star,
I've just now run into a problem with the line of code you sent. Until now it was working perfectly, but its currently giving a 90th percentile value that is not in the matrix. I gave a screenshot of the problem. Is there something incorrect with my code or is this something you have seen before? Thanks
I do not have the vector to work with. (I can barely read the images of it.)
The 90th percentile may not actually be an element of the vector, simply what that element would be if it were there, since that by default uses linear interpolation.
See if this version does what you want, with the interpolation method now 'nearest':
Out2 = interp1(linspace(1/numel(v),1,numel(v)), sort(v), 0.9, 'nearest')
An anonymous function version of it would be:
prctlv = @(v) interp1(linspace(1/numel(v),1,numel(v)), sort(v), 0.9, 'nearest');
That will make it easier to work with. Call it as:
a90Per = prctlv(a90Export);
I tested that with the original ‘v’ and it again gave the desired result.
Working great again. Thanks!
As always, my pleasure!

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More Answers (1)

There is probably a one-liner for this, but I guess you could use
A = [0.289, 0.254, 0.287, 0.292, 0.289, 0.267, 0.289, 0.304, 0.284, 0.282];
B = sort(A);
id = round(numel(A).*0.9)
B(id)

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