Hi Karin,

Here is a way to do that:

size=10000
x<-rnorm(size)
y<- runif(size)*x+runif(size)

x.breaks <- seq(min(x),max(x),length=50)

x.grps <- findInterval(x,x.breaks,all.inside=TRUE)
boxplot(y~x.grps)
You can adapt any numbers and boxplot options to what suits your data

Another way is to use the bivariate bagplot (google "R bagplot") if there is
evidence of a bivariate undelrying distribution

HTH,

Eric



2007/10/1, Karin Lagesen <karin.lagesen@medisin.uio.no>:
>
>
>
> I have two vectors x and y, which I would like to plot against each
> other. I am also displaying other data in this plot. However, I have
> about 1 million points to plot, and just plotting them x againt y is
> not very informative. What I'd like to do is to do sort of a
> continuous box plot.
>
> My x values goes from -1 to 1 and my y values from 0 to 1, so I´d like
> to plot the median and quantiles, and possibly also all of the
> outliers somehow. Are there any facilities in R for doing something
> like this, or would I need to do this the hard coded way?
>
> Thankyou very much for your help!
>
> Karin
> --
> Karin Lagesen, PhD student
> karin.lagesen@medisin.uio.no
> http://folk.uio.no/karinlag
>
> ______________________________________________
> 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.
>



-- 
Eric Lecoutre
Consultant - Business & Decision
Business Intelligence & Customer Intelligence

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