Finding the percentile of a time series

Dear all,

I hope this finds you well.

I had a question concerning quantiles/percentiles. I want to know the 90th percentile of my time series, because I want to use that value as a threshold later on.

Is it enough to use the quantile() or the prctile() commands on my data set, or do I have to go with a different approach that involves sorting my data, finding the standard deviation, etc. or Find the distribution of my data then look at the tails?

Also my time series has NaNs in them. Not sure if that affects the commands.

This is a dropbox link to my data:

https://www.dropbox.com/s/k838d1ww0wj5s38/Help-Data.mat?dl=0

Thank You!!

Answer 1

[the cyclist]

The order of the inputs will not affect the value of the quantile (using either of those functions). You should not need to do any kind of sorting, or "manually" calculate the quantile.

[John Doe]

So using those input functions should give me that 90th percentile value for my time series, right?

[the cyclist]

Yes.

prctile(Signal,90)

will give the value that 90% of your values are below. The output of that is zero, because about 94% of the values in Signal are zero.