If the goal is to get a sense of the 'shape' of the overall distribution of 'x', then why not use:
plot(density(x)) ? HTH, Marc Schwartz Peter Alspach wrote: > 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. >>> >>> >>> 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.
