multiple plots - editing ggplot2 plot

Hi Hadley,

Thanks for the quick reply.
Well, if I could do it directly in ggplot, even better.
My data is below (from "dump").
I calculate the bar heights previously, now I just want to plot them, with
fixed fill colours (to make sure they match other plots I use). Thanks
again,
Pedro

`x1` <-
structure(list(Facets = structure(c(1L, 1L, 2L, 2L, 2L, 2L, 2L, 
3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L), .Label = c("10-", 
"20-", "30-", ">40"), class = c("ordered", "factor")), Bars =
structure(c(2L, 
2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 
2L, 2L, 2L), .Label = c("South", "North"), class = c("ordered", 
"factor")), BarClasses = structure(c(3L, 5L, 3L, 5L, 1L, 3L, 
5L, 3L, 5L, 1L, 3L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 3L, 5L), .Label =
c("Cephalopods", 
"Euphausiacea", "Fish", "Polychaetes", "Shrimps"), class = "factor"), 
    BarHeights = structure(c(0.997020854021847, 0.00297914597815293, 
    0.775862068965517, 0.224137931034483, 0.00023335127316569, 
    0.985671202336716, 0.0140954463901187, 0.341701062318154, 
    0.658298937681846, 1.91509512799799e-05, 0.803486865929413, 
    0.196493983119307, 0.0755241837337877, 0.00347717236343406, 
    0.423797767655343, 0.00066066274905247, 0.496540213498383, 
    0.165470521161714, 0.654638138037427, 0.179891340800859), .Dim = 20L,
.Dimnames = list(
        c("Cephalopods", "Cephalopods", "Cephalopods", "Cephalopods", 
        "Cephalopods", "Cephalopods", "Cephalopods", "Cephalopods", 
        "Cephalopods", "Cephalopods", "Cephalopods", "Cephalopods", 
        "Cephalopods", "Cephalopods", "Cephalopods", "Cephalopods", 
        "Cephalopods", "Cephalopods", "Cephalopods", "Cephalopods"
        )))), .Names = c("Facets", "Bars", "BarClasses", "BarHeights"
), class = "data.frame", row.names = c(NA, -20L))

On Sat, Sep 27, 2008 at 10:20 AM, Pedro Barros <pedro.barros at fao.org>
wrote:

Hi All,

I am trying to build a composite plot, with multiple categories, using
ggplot2.

[...]

Could you post the data that you are using?  You should be able to do
most of that without any customisation of ggplot2.

Hadley

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