Here's a sample: > unif_rand_1 <- runif(1000); > unif_rand_2 <- runif(1000); > ks.test(unif_rand_1,unif_rand_2);
Two-sample Kolmogorov-Smirnov test data: unif_rand_1 and unif_rand_2 D = 0.021, p-value = 0.9802 alternative hypothesis: two-sided So in your case: > ks.test( runif( length( your_data ) ), your_data ); - John On Thu, Jun 12, 2008 at 9:55 AM, mohamed nur anisah < [EMAIL PROTECTED]> wrote: > Dear R User, > > say I have this sample of data ( attach with). What i'm going to do is to > test whether this data is uniformly distributed or not by finding the > p-value. I've tried using the punif command but it gave me the value of 1 of > all the data. Any suggestion on R command to find the p-value??Thanks in > advance!! > > Cheers, > Anisah > > > > 132968364 > 135945080 > 156539568 > 157817896 > 162399496 > 168344072 > 173146584 > 176302744 > 182878168 > 183946152 > 185068720 > 190791232 > 84317660 > 93708872 > 106810172 > 126800004 > 148519056 > 150945112 > 155771432 > 181069984 > 87104384 > > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.