Thanks a lot Mike!

Could you please explain your code a bit?

My imagination is that for each bin, I am plotting a line which is the
quantile of the y-values in that bin?

I ran your program but couldn't figure out the meaning of the dots in your
plot?

Thanks again!

On Fri, Mar 9, 2012 at 7:07 PM, R. Michael Weylandt <
michael.weylandt@gmail.com> wrote:

> That doesn't really seem to make sense to me as a graphical
> representation (transforming adjacent y values differently), but if
> you really want to do so, here's what I'd do if I understand your goal
> (the preprocessing is independent of the graphics engine):
>
> DAT <- data.frame(x = runif(1000, 0, 20), y = rcauchy(1000)^2) # Nice
> and volatile!
>
> # split y based on some x binning and assign empirical quantiles of each
> group
>
> DAT$yquant <- with(DAT, ave(y, cut(x, seq(0, 20, 5)), FUN =
> function(x) ecdf(x)(x)))
>
> # BASE
> plot(yquant ~ x, data = DAT)
>
>  # ggplot2
> library(ggplot2)
>
> p <- ggplot(DAT, aes(x = x, y = yquant)) + geom_point()
> print(p)
>
> Michael Weylandt
>
> PS -- I see Josh Wiley just responded pointing out your requirements
> #1 and #2 are incompatible: I've used 1 here.
>
> On Fri, Mar 9, 2012 at 7:37 PM, Michael <comtech.usa@gmail.com> wrote:
>  > Hi all,
> >
> > I am trying hard to do the following and have already spent a few hours
> in
> > vain:
> >
> > I wanted to do the scatter plot.
> >
> > But given the high dispersion on those dots, I would like to bin the
> x-axis
> > and then for each bin of the x-axis, plot the quantiles of the y-values
> of
> > the data points in each bin:
> >
> > 1. Uniform bin size on the x-axis;
> > 2. Equal number of observations in each bin;
> >
> > How to do that in R? I guess for the sake of prettyness, I'd better do it
> > in ggplot2?
> >
> > Thank you!
> >
>  >        [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > 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<http://www.r-project.org/posting-guide.html>
> > and provide commented, minimal, self-contained, reproducible code.
>

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