Q1:
See if this seems any better. I took the liberty of reconstruction
your initial example in a longer dataframe:
dta <- data.frame(val = sample(t,1000), g = gl(4, 250,
labels=c("A",
"B", "C", "D")) , G2 = gl(2,1,
labels=c("XX", "YY")))
#arguments to data.frame are recycled so one does not need to make the
gl call with a
# length of 500, in fact , that only confuses things (or at least it
does for me).
table(dta$G2,dta$g)
# A B C D
# XX 125 125 125 125
# YY 125 125 125 125
boxplot( val ~ G2 + g, data=dta)
Q2:
?boxplot #especially parameter at
boxplot( val ~ g + G2, data=dta, at = 0.8*c(1,2,3,4,6,7,8,9),
boxwex=0.4)
--
David Winsemius
On Mar 4, 2009, at 1:50 PM, soeren.vogel at eawag.ch wrote:
> Pls forgive me heavy-handed data generation -- newby ;-)
>
> ### start ###
> # example data
> g <- rep.int(c("A", "B", "C",
"D"), 125)
> t <- rnorm(5000)
> a <- sample(t, 500, replace=TRUE)
> b <- sample(t, 500, replace=TRUE)
>
> # what I actually want to have:
> boxplot(a | b ~ g)
>
> # but that does obviously not produce what I want, instead
> i <- data.frame(g, a, rep("one", length(g)))
> j <- data.frame(g, b, rep("two", length(g)))
> names(i) <- c("Group", "Number", "Word")
> names(j) <- c("Group", "Number", "Word")
> k <- as.data.frame(rbind(i, j))
> boxplot(k$Number ~ k$Word * k$Group)
> ### end ###
>
> Questions: (1) Is there an easier way? (2) How can I get additional
> space between the A:D groups?
>
> Thank you
>
> S?ren
>
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