Hi Ian, Have a look at the examples in http://had.co.nz/ggplot2/geom_tile.html for some ideas on how to do this with ggplot2.
Hadley On Sat, Jul 10, 2010 at 8:10 PM, Ian Bentley <ian.bent...@gmail.com> wrote: > Hi all, > > Thanks for the really great help I've received on this board in the past. > > I have a very particular graph that I'm trying to plot, and I'm not really > sure how to do it. I think I should be able to use ggplot for this, but I'm > not really sure how. > > I have a data.frame which contains fifty sub frames containing one hundred > data points each. > > I can do a histogram of each of these sub frames individually, and see the > distribution. I can also plot the mean & standard deviation of the fifty > together in one plot, where the x axis identifies the subframe to which it > refers. > > What I'd like to do is combine these two things, so that I have a 2 -d > graph. > > The x axis specifies the sub-frame. > The y axis is just the data. > > Each x column plots the minimum of the data in the sub frame, the maximum, > and the median, as points. AND each x column also displays histogram data, > so that the y values which have more density in the subframe are darker, and > the ones with less density are lighter. > > I know this is fairly particular, and may not be possible, but it would be > really great for me! > > If anyone can help - thanks! > > -- > Ian Bentley > M.Sc. Candidate > Queen's University > Kingston, Ontario > > [[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. > -- Assistant Professor / Dobelman Family Junior Chair Department of Statistics / Rice University http://had.co.nz/ ______________________________________________ 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.
