Boxplot lattice vs standard graphics

Thanks for the example. Makes it easy to see what you mean.

Yes, if I understand you correctly, you are right:
boxplot() (base) transforms the axes, so ?boxplot.stats, which is the
function that essentially computes the boxplot, does so on the
original data.
bwplot(lattice) transforms the data first, as the documentation for
the "log" component of the scales list makes clear, and **then** calls
boxplot.stats.

Although I think the latter makes more sense then the former, I think
the way to do it is to modify the "stats" function in an explicit call
to panel.bwplot to something like (UNTESTED!)
mystats <- function(x){
out <- boxplot.stats(10^x)
out$stats <- log10(out$stats)
out$conf <- log10(out$conf) ## Omit if you don't want notches
out$out <- log10(out$out)
out ## With the boxplot statistics converted to the log10 scale
}

I leave it to you to test and modify as necessary.

Cheers,
Bert

On Fri, Sep 14, 2012 at 2:37 AM, maxbre <mbressan at arpa.veneto.it> wrote:

Given my reproducible example

test<-structure(list(site = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L,
3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L), .Label = c("A",
"B", "C", "D", "E"), class = "factor"), conc = c(2.32, 0.902,
0.468, 5.51, 1.49, 0.532, 0.72, 0.956, 0.887, 20, 30, 2.12, 0.442,
10, 50, 110, 3.36, 2.41, 20, 70, 3610, 100, 4.79, 20, 0.0315,
30, 60, 1, 3.37, 80, 1.21, 0.302, 0.728, 1.29, 30, 40, 90, 30,
0.697, 6.25, 0.576, 0.335, 20, 10, 620, 40, 9.98, 4.76, 2.61,
3.39, 20, 4.59)), .Names = c("site", "conc"), row.names = c(NA,
52L), class = "data.frame")



And the following code

#standard graphics
with(test,boxplot(conc~site, log="y"))

#lattice
bwplot(conc~site, data=test,
        scales=list(y=list(log=10))
        )

There is an evident difference for site A, B, D in the way some outliers are
plotted by comparing the plot produced by lattice vs. the standard graphics

I think to understand this might be due to the different treatment of data:
i.e. log transformation (before or after the plotting?)

Is it possible to achieve the same plotting result with both graphic
facilities?
I would like to show the outliers also in lattice?

Thank you

http://r.789695.n4.nabble.com/file/n4643121/standard.png

http://r.789695.n4.nabble.com/file/n4643121/lattice.png





--
View this message in context: http://r.789695.n4.nabble.com/Boxplot-lattice-vs-standard-graphics-tp4643121.html
Sent from the R help mailing list archive at Nabble.com.