I was just testing out ks.test()
> y <- runif(10000, min=0, max=1)
> ks.test(y, runif, min=0, max=1, alternative="greater")
One-sample Kolmogorov-Smirnov test
data: y
D^+ = 0.9761, p-value < 2.2e-16
alternative hypothesis: the CDF of x lies above the null hypothesis
>
It seems that everytime I run it, I get a highly significant p-value
(for two sided
or one-sided , exact=TRUE or FALSE). Can anybody tell me what is going on ?
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