Re: [R] labels outliers in boxplot

2007-01-16 Thread Greg Snow
Some information on the outliers is returned from the boxplot function.  Try 
something like:

set.seed(123)
tmp - data.frame( group=gl(3,10), 
  y=rcauchy(30), sex=gl(2,5,30,c('M','F')) )

tmp2 - boxplot( split(tmp$y,tmp$group) )
identify( tmp2$group, tmp2$out, tmp2$group )

Or if your grouping variable works out to the same values as the x axis (used 
integers) and you want to specify a 3rd variable to be the labels you can do:

Identify( tmp$group, tmp$y, tmp$sex )

Hope this helps,

-- 
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
[EMAIL PROTECTED]
(801) 408-8111
 
 

 -Original Message-
 From: [EMAIL PROTECTED] 
 [mailto:[EMAIL PROTECTED] On Behalf Of 
 [EMAIL PROTECTED]
 Sent: Wednesday, January 10, 2007 2:08 PM
 To: r-help@stat.math.ethz.ch
 Subject: [R] labels outliers in boxplot
 
 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] labels outliers in boxplot

2007-01-12 Thread antoniababe
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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Re: [R] labels outliers in boxplot

2007-01-12 Thread talepanda
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, [EMAIL PROTECTED] [EMAIL PROTECTED] 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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Re: [R] labels outliers in boxplot

2007-01-12 Thread antoniababe
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 [EMAIL PROTECTED] 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, [EMAIL PROTECTED]
 [EMAIL PROTECTED] 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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  Flyger tiden iväg? Fånga dagen med Yahoo! Mails
 inbyggda
 
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  R-help@stat.math.ethz.ch mailing list
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  PLEASE do read the posting guide
 http://www.R-project.org/posting-guide.html
  and provide commented, minimal, self-contained,
 reproducible code.
 
 






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R-help@stat.math.ethz.ch mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


Re: [R] labels outliers in boxplot

2007-01-12 Thread talepanda
you can get them from return value, try:

out.id-identify(tb_ncs$Slide,tb_ncs$y)
out.block-tb_ncs[out.id,]$Block

On 1/12/07, [EMAIL PROTECTED] [EMAIL PROTECTED] wrote:
 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 [EMAIL PROTECTED] 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, [EMAIL PROTECTED]
  [EMAIL PROTECTED] 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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  http://www.R-project.org/posting-guide.html
   and provide commented, minimal, self-contained,
  reproducible code.
  
 



   
   
   
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