Dear Jason,
Have a look at scale_y_continuous() and scale_fill_discrete(). This might work
(untested as your example is not reproducible with a (dummy) dataset).
qplot(Age, data = recerts_combined_values, binwidth = 5, fill =
combined_values$Test.Type, main="Combined Age Histogram") +
scale_x_continuous("Age, months") + scale_y_continuous("Counts") +
scale_fill_discrete("Type of Tests")
HTH,
Thierry
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ir. Thierry Onkelinx
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-----Oorspronkelijk bericht-----
Van: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] Namens
Jason Rupert
Verzonden: dinsdag 6 januari 2009 16:00
Aan: r-help@r-project.org
Onderwerp: Re: [R] R Stacked Histogram
Great advice. I did a quick read and came up with the following:
qplot(Age, data = recerts_combined_values, binwidth = 5,
fill = combined_values$Test.Type,
ylab="Counts", xlab="Age, months",
main="Combined Age Histogram",
legend.name = "Type of Tests")
Unfortunatley, here is a description of the results:
(1) the "main" title font size by default is too large and is clipped by the
image (guess I need to figure out how to fix this),
(2) ylab appears to fail - it does not replace the default "count" label - what
should I do to fix this?
(3) like (2), neither using "legend.name" nor "legend.title" appears to
replace/change the name of the legend title/name.
By any chance can you provide some advice for tackeling these items? These are
probably due to me being a noobie on the ggplot2 package.
Thanks again.
--- On Mon, 1/5/09, hadley wickham <h.wick...@gmail.com> wrote:
From: hadley wickham <h.wick...@gmail.com>
Subject: Re: [R] R Stacked Histogram
To: jasonkrup...@yahoo.com
Cc: r-help@r-project.org
Date: Monday, January 5, 2009, 7:42 AM
On Sun, Jan 4, 2009 at 6:51 PM, Jason Rupert <jasonkrup...@yahoo.com>
wrote:
> Understood. Will head the warning about odd way to display data.
>
> Any recommendations about where I look to find full details about
"qplot".
>
> I tried ?qplot, but it did not return full details.
>
> That description was missing a few items, e.g. fill, which is used below.
The best place to start is the qplot chapter of the ggplot2 book -
http://had.co.nz/ggplot2/book
Regards,
Hadley
--
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