[R] Boxplot lattice vs standard graphics
maxbre
mbressan at arpa.veneto.it
Fri Sep 14 11:37:56 CEST 2012
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
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