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.weyla...@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....@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. > [[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 and provide commented, minimal, self-contained, reproducible code.
