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,]
boxplot(split(tb_ncs$y,tb_ncs$Slide),col="orange",
cex=.65,
Dear R-users,
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$Control==1) ### this
data contains only negative controls
par(las=2,mar=c(10.1,4.1,4.1,2.1))
outline=TRUE,main="Negative control
response of each patient", cex.main=1, font.main=1,
col.main="blue",
names=c(1:35,"B"))
grid(nx=NA, ny=NULL)
### grid over boxplot
legend("bottomright", "B = Buffer +
sec",text.col="blue")
out.block<-
identify(tb_ncs$y,tb_ncs$Slide)
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