Categorical bubble plot
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.
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--
Regards/Groete/Mit freundlichen Gr??en/recuerdos/meilleures salutations/
distinti saluti/siong/du? y?/??????
Jurgens de Bruin