It is not clear what question you are trying to answer. Perhaps if you can give us an explanation of your overall goal then we can be more helpful.
-- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare greg.s...@imail.org 801.408.8111 > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r- > project.org] On Behalf Of Roslina Zakaria > Sent: Wednesday, August 04, 2010 8:34 PM > To: r-help@r-project.org > Subject: [R] Kolmogorov-Smirnov test, which one to use? > > Hi, > > I have two sets of data, an observed data and generated data. > The generated data is obtained from the model where the parameters is > estimated > from the observed data. > > So I'm not sure which to use either > one-sample test > ks.test(x+2, "pgamma", 3, 2) # two-sided, exact > > or > > two-sample test > ks.test(x, x2, alternative="l") > > If I use the one-sample test I need to specified the model which I > don't have in > my case. > > Actually I use the two-sample test and when I compare with what I got > from using > Chi-square test the result is too different. > > Data: > > obs_data pre_gam > [1,] 93 25.6770 > [2,] 115 127.9095 > [3,] 125 151.6845 > [4,] 120 146.9295 > [5,] 106 107.9385 > [6,] 101 107.4630 > [7,] 75 86.5410 > [8,] 58 55.6335 > [9,] 46 43.7460 > [10,] 38 32.8095 > [11,] 31 16.1670 > [12,] 17 18.5445 > [13,] 10 9.0345 > [14,] 16 20.9220 > > Results: > > chisq.test(obs_data, p = pre_gam, rescale.p = TRUE) > Chi-squared test for given probabilities > data: obs_data > X-squared = 205.4477, df = 13, p-value < 2.2e-16 > > > ks.test(obs_data,pre_gam) > Two-sample Kolmogorov-Smirnov test > data: obs_data and pre_gam > D = 0.2143, p-value = 0.9205 > alternative hypothesis: two-sided > > > Am I doing the right thing? > > Thank you so much for your help. > > > > [[alternative HTML version deleted]] ______________________________________________ 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.
