[R] Histogram/BoxPlot Panel

[baptiste auguie]

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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>> and provide commented, minimal, self-contained, reproducible code.
>>
>