[R] A ggplot question
Megh
megh700004 at yahoo.com
Wed Dec 2 14:34:03 CET 2009
Hi all, I want be more clear what I want to do. Please consider following
code :
ggplot(diamonds, aes(carat, ..density..)) + geom_histogram(binwidth = 0.2,
aes(fill = cut)) + facet_grid(. ~ cut)
Here you see there is no need for the color-pallet named "cut", as the
sub-plot headings take care of them. My question is how I can remove the
color-pallet. Your help will be highly appreciated.
Thanks,
Megh wrote:
>
> Thanks Ista for your mail. Here I wanted to have control on color-pallet.
> It is because, here my entire plot window is subdivided in 3 sub-plots
> horizontally, on basis if a factor-variable which contains three factors,
> using facet_grid(). Each sub-plot contains scatter-plot. I want to color
> the points of each scatter-plot based on the corresponding factor
> (contained in factor-variable). Therefore as you might agree in this case,
> there is no need for additional color-pallet as the factor-description is
> handled by facet_grid() function itself.
>
> Any better idea how I can hide color-pallet?
>
> Thanks,
>
>
>
> Ista Zahn wrote:
>>
>> There was a recent discussion of the ggplot2 mailing list about a
>> similar issue. The first question is how will people know what the
>> colors mean if you remove the legend?
>>
>> -Ish
>>
>> On Tue, Dec 1, 2009 at 11:41 PM, Megh <megh700004 at yahoo.com> wrote:
>>>
>>> Let consider following plot :
>>>
>>> p <- ggplot(mtcars, aes(mpg, wt))
>>> p + geom_point(colour="grey50", size = 4) + geom_point(aes(colour =
>>> cyl))
>>>
>>> Now I want R to hide the color-pallet on "cyl", placed in the right edge
>>> completely. Can anyone please guide me how to do that?
>>>
>>> Thanks,
>>> --
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>>
>>
>>
>> --
>> Ista Zahn
>> Graduate student
>> University of Rochester
>> Department of Clinical and Social Psychology
>> http://yourpsyche.org
>>
>> ______________________________________________
>> R-help at 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.
>>
>>
>
>
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