[R] Hi~problem with the two sample test: ks2Test in the package of fbasics

From: l y <pligly_at_gmail.com>
Date: Mon, 07 Jul 2008 11:44:16 +0800

Hi everyone, when I use the two sample Kolmogorov¨CSmirnov ks2Test like this:  x=read.table("e:/x.txt")
y=rstable(1000,alpha,beta,gamma,delta)

I alway get results as follows:
Warning messages:
1: In ks.test(x = x, y = y, alternative = "two.sided") :   cannot compute correct p-values with ties 2: In ks.test(x = x, y = y, exact = TRUE, alternative = "two.sided") :   cannot compute correct p-values with ties 3: In ks.test(x = x, y = y, alternative = "less") :   cannot compute correct p-values with ties 4: In ks.test(x = x, y = y, alternative = "greater") :   cannot compute correct p-values with ties I know that the one-sample Kolmogorov¨CSmirnov test only applied to continuous distributions, does the two-sample ks test require this? Even if it requires, the stable distribution is continuous. So I also tried this:
x=read.table("e:/x.txt");
y=rnorm(1000,mean,sd);
ks2Test(x,y);
And this:
x=read.table("e:/x.txt");
ks.test(x,"norm");
Strangely,I got a total same result! I really want to know whether there are any other sources that could induce this result except for the continuity of distribution? If there are, what are they? Any help will be much appreciated!

Lily

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