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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 th...

...+ 1 if (i == 21) break } but the output is: Welch Two Sample t-test data: e[i] and f[i] ... so I don't know which data was calculated. Is there a way to tell the t.test or I'll make the same with plotmeans (from the gplots library) but I'd like to have it like t.text(e$angststoer, f$angststoer) so I know what was calculated or plotted... Any ideas? Thanks, Martin -- Ihr Partner f?r Webdesign, Webapplikationen und Webspace. http://www.roomandspace.com/ Martin Kaffanke +43 650 4514224 -------------- next part -------------- A non-text attachment was scrubbed... Name: no...