Philippe>- switch everywhere to R1 (also in commons-math) Can you please clarify why do you prefer R1?
I'm inclined to R8 (as it is recommended by R for sample quantile calculation). 1) I think interpolation would reduce run-to-run variance. 2) Interpolation-like estimation is easier to implement. For instance, if HdrHistogram estimator is added, then its result would be closer to R8 rather than to R1. I don't think "the result of 90% is one of the sample response times" is important. The important stuff is how system under test behaves, and it is not something tied to a single execution. What I mean is R8 kind of computation should better approximate the true percentile value than R1 would, and it is the true value that is important to compare and report as a test result. Vladimir
