Re: [R] labels outliers in boxplot

From: talepanda <talepanda_at_gmail.com>
Date: Fri 12 Jan 2007 - 09:50:26 GMT

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@yahoo.se <antoniababe@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,
>
> Jenny,
>
> 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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R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Fri Jan 12 20:57:50 2007

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