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https://issues.apache.org/jira/browse/MATH-1179?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14246085#comment-14246085
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Gilad commented on MATH-1179:
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I'm not suggesting the R implementation is in any way better.
However, if I assume the Monte Carlo method is relatively accurate, it is
obvious that the R result is much closer than the asymptotic distribution.
I will try reading a bit more, and try adjusting the parameters in order to get
better results.
Thanks again for the quick and in depth reply.
Gilad
> kolmogorovSmirnovTest poor performance in monteCarloP method
> ------------------------------------------------------------
>
> Key: MATH-1179
> URL: https://issues.apache.org/jira/browse/MATH-1179
> Project: Commons Math
> Issue Type: Bug
> Reporter: Gilad
> Attachments: KSTest-JavaAndR.txt, KSTestSnippet.txt
>
>
> I'm using the kolmogovSmirnovTest method to calculate pvalues.
> However, when i try running the test on two double[] of sizes 5 and 45 the
> results take over 10 seconds to calculate.
> This seems very long, whereas in R it takes a few miliseconds for the same
> calculation.
> I'd be very happy to hear any comment you may have on the subject.
> Gilad
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