Andre If I understand you correctly, you could try a barplot() on the result of table().
HTH ...... Peter Alspach > -----Original Message----- > From: [EMAIL PROTECTED] > [mailto:[EMAIL PROTECTED] On Behalf Of Andre Nathan > Sent: Wednesday, 27 February 2008 1:34 p.m. > To: roger koenker > Cc: r-help > Subject: Re: [R] "Raw" histogram plots > > 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. > The contents of this e-mail are privileged and/or confidential to the named recipient and are not to be used by any other person and/or organisation. If you have received this e-mail in error, please notify the sender and delete all material pertaining to this e-mail. ______________________________________________ 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.
