Thank you. I'm sorry for my question. Sure, I've to integrate a density function to get the probabilities... I didn't noticed the small breaks and that's why I was confused. I expected a histogram with probabilities for the realizations.
Am Sonntag, den 26.07.2009, 14:27 -0400 schrieb jim holtman: > "sums to one" I should have said. > > On Sun, Jul 26, 2009 at 7:43 AM, Jan > Teichmann<jan.teichm...@googlemail.com> wrote: > > Hello, > > > > I have a problem with the hist() function and showing densities. The > > densities sum to 50 and not to 1! I use R version 2.9.1 (2009-06-26) and > > I load the seqinR library. > > > > My data is the following vector: > > [1] 0.1400000 0.2000000 0.2200000 0.2828283 0.1600000 0.1600000 > > 0.3600000 > > [8] 0.1600000 0.2200000 0.2600000 0.2000000 0.3000000 0.2200000 > > 0.2342342 > > [15] 0.1800000 0.2200000 0.1600000 0.2300000 0.2000000 0.2200000 > > 0.2400000 > > [22] 0.2000000 0.2200000 0.2200000 0.2600000 0.2000000 0.1600000 > > 0.2200000 > > [29] 0.2342342 0.2000000 0.2200000 0.2000000 0.2000000 0.1400000 > > 0.1800000 > > [36] 0.2200000 0.1600000 0.1600000 0.1400000 0.2200000 0.2000000 > > 0.2871287 > > [43] 0.2900000 0.2000000 0.1836735 0.2000000 0.2000000 0.2900000 > > 0.2400000 > > [50] 0.2200000 0.2800000 0.2000000 0.2745098 0.2200000 0.2300000 > > 0.1800000 > > [57] 0.2300000 0.1800000 0.2600000 0.2200000 0.2222222 0.2200000 > > 0.2600000 > > [64] 0.2200000 0.2200000 0.2600000 0.2200000 0.2000000 0.2200000 > > > > I use the following command: > > tmp <- hist(data, freq=FALSE, plot=FALSE) > > > > and that's the result: > > $breaks > > [1] 0.14 0.16 0.18 0.20 0.22 0.24 0.26 0.28 0.30 0.32 0.34 0.36 > > > > $counts > > [1] 10 4 15 19 8 5 2 5 0 0 1 > > > > $intensities > > [1] 7.2463754 2.8985507 10.8695652 13.7681159 5.7971014 3.6231884 > > [7] 1.4492754 3.6231884 0.0000000 0.0000000 0.7246377 > > > > $density > > [1] 7.2463754 2.8985507 10.8695652 13.7681159 5.7971014 3.6231884 > > [7] 1.4492754 3.6231884 0.0000000 0.0000000 0.7246377 > > > > $mids > > [1] 0.15 0.17 0.19 0.21 0.23 0.25 0.27 0.29 0.31 0.33 0.35 > > > > $xname > > [1] "data" > > > > $equidist > > [1] TRUE > > > > attr(,"class") > > [1] "histogram" > > > > ______________________________________________ > > 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.
