[R] Histogram/BoxPlot Panel

[Lorenzo Isella]

Dear Baptiste,
Thanks a lot for the excellent example, which convinced me to start 
studying ggplot2.
A trivial question: is there an easy way to generate a boxplot without 
outliers?
Using R standard plotting facilities, this amounts to giving 
outline=FALSE within boxplot.
Can I easily achieve the same using ggplot2? Beside not plotting the 
outliers, I also would like the y range to adjust automatically.
I did some online research, someone suggested preprocessing the data, 
but I can hardly believe that this is the only way to go.
Cheers

Lorenzo

baptiste auguie wrote:
> I forgot the base graphics way,
>
> ## divide the window in 4x4 cells
> par(mfrow=n2mfrow(length(datasets)))
>
> ## loop over the list of datasets and plot each one
> be.quiet <- lapply(datasets, function(ii) boxplot(y~x, data=ii))
>
>
> ggplot2 has a website with many examples,
> http://had.co.nz/ggplot2/
> as well as a book.
>
> Lattice also has a dedicated book, and a companion website with the figures,
> http://r-forge.r-project.org/projects/lmdvr/
>
> HTH,
>
> baptiste
>
> 2009/12/29 baptiste auguie <baptiste.auguie at googlemail.com>:
>   
>> Hi,
>>
>> Here is some artificial data followed by minimal ggplot2 and lattice examples,
>>
>> makeUpData <- function(){
>>  data.frame(x=sample(letters[1:4], 100, repl=TRUE), y=rnorm(100))
>>  }
>>
>> datasets <- replicate(15, makeUpData(), simplify=FALSE)
>> names(datasets) <- paste("dataset", seq_along(datasets), sep="")
>>
>> str(datasets)
>>
>> require(reshape)
>> ## combine the datasets in one long format data.frame
>> m <- melt(datasets, meas=c("y"))
>>
>> str(m)
>>
>> require(ggplot2)
>>
>> ggplot(m)+
>>  geom_boxplot(mapping=aes(x, value))+
>>  facet_wrap(~L1)
>>
>> # or more concisely
>> qplot(x, value, data=m, geom="boxplot", facets=~L1)
>>
>> require(lattice)
>>
>> bwplot(value~x | L1, data=m)
>>
>> HTH,
>>
>> baptiste
>>
>> 2009/12/29 Lorenzo Isella <lorenzo.isella at gmail.com>:
>>     
>>> Dear All,
>>> I am given 15 different data sets and I would like to generate a panel
>>> showing all of them.
>>> Each dataset will be presented either as a boxplot or as a histogram.
>>> There are several possible ways to achieve this (as far as I know)
>>>
>>> (1) using plot and mfrow()
>>> (2) using lattice
>>> (3) using ggplot/ggplot2
>>>
>>> I am not very experienced (to be euphemistic) about (2) and (3).
>>> My question then is: how would you try to organize these 15
>>> histograms/boxplots  into a single figure?
>>> Can anyone provide me with a simple example (with artificial data) for
>>> (2) and (3) (or point me to some targeted online resource)?
>>> Any suggestion is welcome.
>>> Many thanks
>>>
>>> Lorenzo
>>>
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