[R] labels outliers in boxplot

[antoniababe at yahoo.se]

Dear talepande,

Thanks for your suggestion,  
I have already tried to use it, but the identify
function gave me only  the observation number
everytime I clicked on any point.What I want is
instead of obervation numbers it would be block and/or
slide numbers.

Any other idea how I can make it works ?

Thanks 
--- talepanda <talepanda at gmail.com> skrev:

> because given data is a part of your data, I cannot
> examine,
> however, try:
> 
> ##out.block<-identify(tb_ncs$y,tb_ncs$Slide)
> out.block<-identify(tb_ncs$Slide,tb_ncs$y)
> 
> 
> On 1/11/07, antoniababe at yahoo.se
> <antoniababe at yahoo.se> wrote:
> > Dear R-users,
> >
> > Following is part of my data, where slide has 36
> > levels and block 48 levels. I have done boxplot
> for
> > each slide on the same graph. There are outliers
> for
> > each slide and I tried to use indentify functtion
> to
> > identify outliers in such a way that when I click
> on
> > an outlier or point, the points will be labelled
> by
> > either their block or ID or by both but without
> > success. How can I make it work or are there other
> > ways to do it than using identify function?
> >
> >
> > Thanks in advance,
> >
> > 
> >
> > dat1[1:10,]
> >             y Slide Block              ID Control
> > 1   0.03147823     1     1       IgG-human       5
> > 2  -0.23815974     1     1 LPPAANDVSVLTAAR       0
> > 3  -0.71926359     1     1 HTKHYRVVSKPAALV       0
> > 4  -0.14607826     1     1 FVALPAATADAYATT       0
> > 5   0.89553073     1     1 NYPAMMAHAGDMAGY       0
> > 6  -0.67587100     1     1 RRALRQIGVLERPVG       0
> > 7   0.32636034     1     1 DCGTIRVGSFRGRWL       0
> > 8  -1.44057259     1     1 MAKLSTDELLDAFKE       0
> > 9  -0.37064338     1     1 LELSDFVKKFEETFE       0
> > 10 -0.20387233     1     1 VSRRAKVDVLIVHTT       0
> >
> >
> >  tb_ncs<-subset(dat1,dat1$Control==1)     ### this
> > data contains only negative controls
> >
> >       par(las=2,mar=c(10.1,4.1,4.1,2.1))
> >
> > boxplot(split(tb_ncs$y,tb_ncs$Slide),col="orange",
> > cex=.65,
> >                   outline=TRUE,main="Negative
> control
> > response of each patient", cex.main=1,
> font.main=1,
> >                            col.main="blue",
> > names=c(1:35,"B"))
> >                   grid(nx=NA, ny=NULL)
> >          ### grid over boxplot
> >           legend("bottomright", "B = Buffer +
> > sec",text.col="blue")
> >
> >
> >            out.block<-
> > identify(tb_ncs$y,tb_ncs$Slide)
> >
> >
> >
> >
> >
> >
> >
>
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> >
> 



	
	
		
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