# [Rd] KS test in R.1.3.0 has incorrect p-values. (PR#1004)

**ripley@stats.ox.ac.uk
**
ripley@stats.ox.ac.uk

*Fri, 29 Jun 2001 07:49:24 +0200 (MET DST)*

Based on a report to the Windows maintainers from Richard Rowe
<Richard.Rowe@jcu.edu.au>:
NEWS for 1.3.0 says
o Exact p-values are available for the two-sided two-sample
Kolmogorov-Smirnov test.
I think the (new) p-values are computed but are backwards:
>* set.seed(123)
*>* x <- rnorm(50)
*>* y <- runif(50)
*>* ks.test(x,y, exact=T)$p
*[1] 1
>* 1 - ks.test(x,y, exact=T)$p
*[1] 4.047605e-08
>* ks.test(x,y, exact=F)$p
*[1] 3.099506e-07
>* y<-rnorm(50)
*>* ks.test(x,y, exact=T)$p
*[1] 0.02015456
>* ks.test(x,y, exact=F)$p
*[1] 0.9971923
I'll commit the obvious fix unless anyone knows better. Neither value
agrees well with S-PLUS 6, which gives
>* source("dumpdata.R")
*>* ks.gof(x, y)$p
*[1] 1.453458e-07
--
Brian D. Ripley, ripley@stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272860 (secr)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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