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 > > > > > > ------------------------------------------------------------------------ > > ______________________________________________ > 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. ______________________________________________ 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.
