Hi, I got two data point vectors. Now I want to make a ks.test(). I you print both vectors you will see, that they fit pretty fine. Here is a picture: http://www.jochen-bauer.net/downloads/kstest-r-help-list-plot.png
As you can see there is one histogram and moreover there is the gumbel density function plotted. Now I took to bin-mids and the bin-height for vector1 and computed the distribution-values to all bin-mids as vector2. I pass these two vectors to ks.test(). Are those the right vectors, if I want to decide afterwards, if my experiment-data is gumbel-distributed? Surprisingly the p-value changes tremendously if I calculate more digits out of my theoretical formula. If I round to 0 digits, p is 1, if I round to 4 digits, p drops to 0 - how could this happen, I thought more digits will bring more accurate results?! XXXX Case 0 digits: XXXXXXXXXXXXXXXXXXXXXXXXXXX [1] 0 0 0 0 0 24 74 98 133 147 134 120 89 69 46 31 16 7 [19] 7 3 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 [37] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 [55] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 [73] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 [91] 0 0 0 0 0 0 0 0 0 0 [1] 0 0 0 0 1 10 49 113 160 168 147 113 81 55 37 24 15 10 [19] 6 4 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 [37] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 [55] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 [73] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 [91] 0 0 0 0 0 0 0 0 0 0 [1] "Ergebnisse" [1] "Analyse der Eingangsdaten" [1] "Mean: 0.104537195" [1] "SAbw.: 0.0277657985898433" [1] "Parameter-Berechnung der Daten bei angenommener Gumbelverteilung" [1] "Mue: 0.0920411082987717" [1] "Beta: 0.0216489043196013" [1] "KS-Test -> 1000 Werte, 100 Bins, x: Klassenmitten, y1, y2 = Histogrammhöhen" [1] "KST D: 0.04" [1] "KST P: 1" XXX Case 4 digits: XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX [1] 0 0 0 0 0 24 74 98 133 147 134 120 89 69 46 31 16 7 [19] 7 3 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 [37] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 [55] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 [73] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 [91] 0 0 0 0 0 0 0 0 0 0 [1] 0.000 0.000 0.000 0.006 0.622 10.094 49.271 112.776 160.174 [10] 168.419 146.527 113.137 81.026 55.344 36.690 23.870 15.347 9.793 [19] 6.220 3.939 2.490 1.572 0.992 0.625 0.394 0.248 0.157 [28] 0.099 0.062 0.039 0.025 0.016 0.010 0.006 0.004 0.002 [37] 0.002 0.001 0.001 0.000 0.000 0.000 0.000 0.000 0.000 [46] 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 [55] 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 [64] 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 [73] 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 [82] 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 [91] 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 [100] 0.000 [1] "Ergebnisse" [1] "Analyse der Eingangsdaten" [1] "Mean: 0.104537195" [1] "SAbw.: 0.0277657985898433" [1] "Parameter-Berechnung der Daten bei angenommener Gumbelverteilung" [1] "Mue: 0.0920411082987717" [1] "Beta: 0.0216489043196013" [1] "KS-Test -> 1000 Werte, 100 Bins, x: Klassenmitten, y1, y2 = Histogrammhöhen" [1] "KST D: 0.2" [1] "KST P: 0.0366" Thanks in advance for some help. Jochen -- View this message in context: http://r.789695.n4.nabble.com/Problems-with-ks-test-tp3703469p3703469.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
