[R] ggplot2 legend problem

[ONKELINX, Thierry]

Dear Chris,

First of all I would go for the density plot. The 'extra' info from the
histogram is just noise. So I guess you are not interessed in it.

ggplot(xy, aes(x=value, colour=case, group=case)) + geom_density()

But is you want to stick with a histogram then I would use one of the
two below

ggplot(xy, aes(x=value, fill=case, group=case)) +
geom_histogram(binwidth=0.1, position = "identity", alpha = 0.2)
ggplot(xy, aes(x=value, fill=case, group=case)) +
geom_histogram(binwidth=0.1, position = "dodge") 

HTH,

Thierry

------------------------------------------------------------------------
----
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature
and Forest
Cel biometrie, methodologie en kwaliteitszorg / Section biometrics,
methodology and quality assurance
Gaverstraat 4
9500 Geraardsbergen
Belgium
tel. + 32 54/436 185
Thierry.Onkelinx at inbo.be
www.inbo.be

To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to
say what the experiment died of.
~ Sir Ronald Aylmer Fisher

The plural of anecdote is not data.
~ Roger Brinner

The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of
data.
~ John Tukey

-----Oorspronkelijk bericht-----
Van: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
Namens hadley wickham
Verzonden: woensdag 19 augustus 2009 14:18
Aan: Chris Friedl
CC: r-help at r-project.org
Onderwerp: Re: [R] ggplot2 legend problem

On Tue, Aug 18, 2009 at 11:10 PM, Chris Friedl<cfriedalek at gmail.com>
wrote:
>
> Still struggling with this. A further example using a slightly 
> different organisation of the data. The factors "A" and "B" are 
> included in the dataframe in an attempt to get ggplot to generate a
legend automatically.
>
> x <- data.frame(value=rnorm(5000, mean=0), case="A") y <- 
> data.frame(value=rnorm(5000, mean=3), case="B") xy <- rbind(x, y) 
> ggplot(xy, aes(x=value, fill=case, group=case)) +
> geom_histogram(binwidth=0.1)
> ggplot(xy, aes(x=value, fill=case, group=case)) + 
> geom_density(alpha=0.2)
>
> Whilst the legend is generated as expected the histogram and density 
> plots are different. The density plots overlap each other whereas the 
> histogram plots stack. I'm trying the get the histogram plots to 
> overlap, and retain the legend. Is the histogram stacking by design? 
> Can stacking be changed to overlapping?

I'm skeptical that this will create a useful plot, but

geom_histogram(binwidth=0.1, position = "identity")

will do what you want.  You might also want to look at geom_freqpoly.

Alternatively, to use your previous approach, you just need to make a
couple of small changes:

g + geom_histogram(aes(x=X, fill = "A"), colour="black", binwidth = 0.1)
+
   geom_histogram(aes(x=Y, fill = "B"), colour="black", binwidth = 0.1)
+
  scale_fill_manual("Case", c("A" = alpha("red", 0.5),
"B"=alpha("blue",0.5)))

Previously you weren't supplying the fill aesthetic so the scale had
nothing to work with.

Hadley

--
http://had.co.nz/

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