Thanks for all the help!!!

On 16 April 2011 08:32, Tal Galili <tal.gal...@gmail.com> wrote:

> 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
>
> ----------------Contact
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> www.r-statistics.com (English)
>
> ----------------------------------------------------------------------------------------------
>
>
>
>
> On Fri, Apr 15, 2011 at 4:19 PM, Ben Bolker <bbol...@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 <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.
>> >
>> >     ______________________________________________
>> >     R-help@r-project.org <mailto:R-help@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@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

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