I know about stem, but the data set has 1 million points, so it's not very useful here. I want to avoid binning just to have an idea about the shape of the distribution, before deciding how I'll bin it.
Andre On Tue, 2008-02-26 at 16:20 -0600, roger koenker wrote: > take a look at > > ?stem > > There is still a place for handtools in the age of integrated > circuits. Of course, avoiding binning isn't really desirable. > > url: www.econ.uiuc.edu/~roger Roger Koenker > email [EMAIL PROTECTED] Department of Economics > vox: 217-333-4558 University of Illinois > fax: 217-244-6678 Champaign, IL 61820 > > > On Feb 26, 2008, at 4:10 PM, Andre Nathan wrote: > > > Hello > > > > I need to plot a histogram, but insted of using bars, I'd like to plot > > the data points. I've been doing it like this so far: > > > > h <- hist(x, plot = F) > > plot(y = x$counts / sum(x$counts), > > x = x$breaks[2:length(x$breaks)], > > type = "p", log = "xy") > > > > Sometimes I want to have a look at the "raw" data (avoiding any kind > > of > > binning). When x only contains integers, it's easy to just use bins of > > size 1 when generating h with "breaks = seq(0, max(x))". > > > > Is there any way to do something similar when x consists of fractional > > data? What I'm doing is setting a small bin length (for example, > > "breaks > > = seq(0, 1, by = 1e-6)", but there's still a chance that points will > > be > > grouped in a single bin. > > > > Is there a better way to do this kind of "raw histogram" plotting? > > > > Thanks, > > Andre > > > > ______________________________________________ > > 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.