Two boxplots at the same abscisse... (?!?)
If I understood clearly, you want to have a glance at the dispersion of your
values, in each category, and for both of your methods.
The following could do the job...
#build a fake data set
val.control <- seq(1,100)
val.exp <- seq(51,150)
lev.control <-
as.factor(rep(c("a","b","c"),length.out=length(val.control)))
lev.exp <-
as.factor(rep(c("a","b","c"),length.out=length(val.exp)))
# REM : this cheap thing works when there are the same number of exp and
controls
lev.control <-
paste(as.character(lev.control),".co",sep='')
lev.exp <- paste(as.character(lev.exp),".exp",sep='')
lev.all <- rbind(as.character(lev.control),as.character(lev.exp))
val.all <- rbind(as.vector(val.control),as.vector(val.exp))
dim(lev.all)_length(lev.all)
dim(val.all)_length(val.all)
myColors <-
rep(c("red","blue"),length.out=length(val.all))
boxplot(val.all ~ as.factor(lev.all),col=myColors)
Laurent
PS: There must be a more elegant way to do this...
Christine Serres wrote:
> Hi,
>
> Can anyone tel me how to plot two boxplot at the same abscisse value ?
> Because I want to compare the discrimination of two different biological
> methods of the same data.
>
> Thanks
>
> Christine
>
>
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