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 <
nuranisah_mohamed@yahoo.com> 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.
>
>

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