ks.test troubles

Martin Kaffanke wrote:

Hi there!

I have two little different data.  One is a computer test on people, the
other is a paper and pencil test.  two boxplots show me that the data is
almost the same.

So now I'd like to know if I could handle all data as one, by testing
with ks.test:

====

ks.test(el$angststoer, fl$angststoer)

        Two-sample Kolmogorov-Smirnov test

data:  el$angststoer and fl$angststoer 
D = 0.1413, p-value = 0.9112
alternative hypothesis: two-sided 

Warning message:
In ks.test(el$angststoer, fl$angststoer) :
  cannot compute correct p-values with ties
====

Ok, so how can I get the p-value?

You already got it, it is 0.9112, but since you have ties in your data, 
R warns you about it (it's not an error, just a warning). And indeed, 
you have some ties in fl$angststoer.

Uwe Ligges

I tried two tests:
====

ks.test(fl$angststoer, "dnorm")

        One-sample Kolmogorov-Smirnov test

data:  fl$angststoer 
D = 0.8109, p-value < 2.2e-16
alternative hypothesis: two-sided 

Warning message:
In ks.test(fl$angststoer, "dnorm") :
  cannot compute correct p-values with ties
====

so I see that this message in the first one, depends on fl$angststoer.

The I have on this two vectors:

====

fl$angststoer

 [1]  1.22184871 -0.30103000  1.00000000 -1.30103000  0.69897000
-0.30103000
 [7] -2.30103000 -1.00000000 -2.00000000  0.22184832 -1.77819468
-0.30103000
[13] -2.00000000 -0.30103000 -0.30103000  0.22184832 -0.90308999
-1.14611935
[19] -1.30103000 -3.20411998 -0.60205999 -2.25531594 -3.60205999
-1.30103000
[25] -2.30103000 -0.07918038 -2.14599777  0.74472745 -3.30103000
-0.30103000
[31] -0.30103000 -4.30103000 -0.60205999 -0.14612847 -1.30103000
-1.30103000
[37]  0.00000000 -0.17609234 -0.47711908 -1.77819468 -1.00000000
-1.20411998
[43] -0.07918038 -2.00000000 -2.00000000 -1.30103000

el$angststoer

 [1] -2.2407100 -2.8601209 -0.5005659 -2.4007721 -0.3474336 -2.6653452
 [7]  0.6548865 -1.6281751 -1.2940679 -0.1316566 -1.4541612 -1.6560206
[13] -0.7441850  0.8219399  0.1746081 -1.2314248 -3.8910969  0.1328448
[19] -1.8439508 -0.8833972 -0.4936052 -0.1664593 -0.8694749 -2.8253588
====

Doesn't seem to be a problem?

What can I do for a good computation?

Thanks,
Martin





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