Hi Conny, It still isn't clear what your question is, but a density plot "simply" shows you the distribution of your data, say a set of measurements of something. Think of it as a modern replacement for the histogram.
See http://en.wikipedia.org/wiki/Density_estimation for greater insight. HTH, Mark. laptopcss wrote: > > Hallo, > > I just loaded the limma package. > > Conny > > -------- Original-Nachricht -------- >> Datum: Tue, 19 Feb 2008 06:41:18 -0800 >> Von: "Henrik Bengtsson" <[EMAIL PROTECTED]> >> An: [EMAIL PROTECTED] >> CC: [EMAIL PROTECTED] >> Betreff: Re: [R] plotDensity > >> Is 'plotDensity' a specific function you are referring to? If so, in >> which package? Then we can give a straight answer... >> >> /Henrik >> >> On Feb 19, 2008 4:10 AM, <[EMAIL PROTECTED]> wrote: >> > Hallo, >> > >> > I have a question to plotDensity and do not understand what stand >> behind. In a density plot the x-axis is the signal intensity but for what >> stands >> than density on the y-axis? Here I have the values 0.00-0.30 Can anyone >> discribe it by his own words? I do not understand the help. >> > >> > Thanks, Conny >> > -- >> > >> > ______________________________________________ >> > 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. > > -- View this message in context: http://www.nabble.com/plotDensity-tp15565443p15570676.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.
