Re: [R] Categorical bubble plot

From: Tal Galili <tal.galili_at_gmail.com>
Date: Sat, 16 Apr 2011 09:32:08 +0300

Hi Jurgens,

In the following post I show how to use balloonplot from qplots to do more or less what you ask:
http://www.r-statistics.com/2010/02/nutritional-supplements-efficacy-score-graphing-plots-of-current-studies-results-using-r/

p.s: the code has a slight modification to it, so to handle overlapping texts. Dear Jim, I'd be happy if some of it might be considered into the official release.

Cheers,
Tal

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On Fri, Apr 15, 2011 at 4:19 PM, Ben Bolker <bbolker_at_gmail.com> wrote:

> On 04/15/2011 01:13 AM, Jurgens de Bruin wrote:
> > Thanks for the reply...
> >
> > with reproducible I am believe you require a dataset?
>
> yes -- but you can make one up if you like. e.g.
>
>
> dd <- expand.grid(drugclass=LETTERS[1:5],
> plant=c("cactus","sequoia","mistletoe"))
> set.seed(101)
> dd$fitvalue <- runif(nrow(dd))
>
> library(ggplot2)
> ggplot(dd,aes(x=drugclass,y=plant,colour=fitvalue,size=fitvalue))+
> geom_point()
>
> By the way, I think you could represent your data much more
> clearly this way: the "Cleveland hierarchy" says that it's easier
> to assess quantitative values plotted along a common scale than via
> size or colour ...
>
> ggplot(dd,aes(x=drugclass,y=fitvalue,colour=plant))+
> geom_point()+geom_line(aes(group=plant))
>
>
>
> > The size of the bubbles will be related to the fitvalues.
> >
> >
> >
> > On 14 April 2011 17:57, Ben Bolker <bbolker_at_gmail.com
> > <mailto:bbolker_at_gmail.com>> wrote:
> >
> > Jurgens de Bruin <debruinjj <at> gmail.com <http://gmail.com>>
> writes:
> >
> > >
> > > Hi,
> > >
> > > I do not have much R experience just the basics, so please excuse
> > > any obvious questions.
> > >
> > > I would like to create bubble plot that have Categorical data on
> > the x and y
> > > axis and then the diameter if the bubble the value related to x and
> y.
> > > Attached to the email is a pic of what I would like to do.
> > >
> >
> > A reproducible example would be great.
> >
> > something along the lines of
> >
> > library(ggplot2)
> >
> ggplot(mydata,aes(x=drugclass,y=plant,colour=fitvalue,size=?))+geom_point()
> >
> > it's not clear from your description what determines the size.
> > From a labeling point of view, switching x and y might be useful.
> >
> > ______________________________________________
> > R-help_at_r-project.org <mailto: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.
> >
> >
> >
> >
> > --
> > Regards/Groete/Mit freundlichen Grüßen/recuerdos/meilleures salutations/
> > distinti saluti/siong/duì yú/привет
> >
> > Jurgens de Bruin
>
> ______________________________________________
> 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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