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 <bbol...@gmail.com
> <mailto:bbol...@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.
>
> ______________________________________________
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>
>
>
> --
> Regards/Groete/Mit freundlichen Grüßen/recuerdos/meilleures salutations/
> distinti saluti/siong/duì yú/привет
>
> Jurgens de Bruin
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