R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- array(list(7,0,-1,-2,0,0,-1,-1,0,-4,-5,0,-1,1,0,-5,0,-9,0,1,-5,-5,0,-1,2,-4,-2,1,-2,2,0,3,0,-1,5,0,2,2,1,-2,4,0,-1,-2,-2,3,0,-3,-1,1,3,-5,1,1,1,-1,2,5,1,-1,1,-1,1,0,-1,-5,0,-1,-5,4,-1,0,1,-1,1,-1,5,-1,0,-2,0,-4,-2,2,1,-2,0,-2,-1,1,0,2,0,0,0,-6,0,0,0,0,-1,0,2,2,1,-1,2,-1,0,1,4,-4,-2,-2,-1,-1,0,-1,0,2,0,-2,0,2,0,-4,0,1,1,-2,3,1,3,1,0,0,2,-2,-1,3,-2,-1,-1,-1,-2,0,0,2,0,0,4,1,3,-5,-1,3,0,3,2,3,4,-1,1,-2,1,-0.6,0,-0.6,1,-0.6,1,-0.6,0,-0.6,1,-0.6,0,-0.6,3,-0.6,4,-0.6,0,-0.6,5,-0.6,4,-0.6,1,-0.6,0,-0.6,0,-0.6,1,-0.6),dim=c(2,98),dimnames=list(c('female','male'),1:98))
>  y <- array(NA,dim=c(2,98),dimnames=list(c('female','male'),1:98))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> par3 = '0'
> par2 = 'TRUE'
> par1 = '3'
> ylab = 'Difference in weight'
> xlab = 'gender'
> main = 'Weight'
> par3 <- '0'
> par2 <- 'TRUE'
> par1 <- '3'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: aston2
> #To cite this work: Ian E. Holliday, 2012, CARE Boxplots and Scatterplot Matrix (v1.0.3) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/Ian.Holliday/rwasp_CARE%20Data%20Boxplot.wasp/
> #Source of accompanying publication: 
> #
> par1 <- as.numeric(par1) #colour
> par2<- as.logical(par2) # Notches ?
> par3<-as.numeric(par3) # % trim
> if(par3>45){par3<-45;warning('trim limited to 45%')}
> if(par3<0){par3<-0;warning('negative trim makes no sense. Trim is zero.')}
> lotrm<-as.integer(length(y[1,])*par3/100)+1
> hitrm<-as.integer(length(y[1,])*(100-par3)/100)
> y1<-array(dim=c(dim(y)[1], hitrm-lotrm+1), dimnames=list(dimnames(y)[[1]], 1:(hitrm-lotrm+1) ))
> for(i in 1:dim(y)[1]){
+ tmp<-order(y[i,])
+ y1[i,]<- y[i, tmp[lotrm:hitrm] ]
+ }
> postscript(file="/var/wessaorg/rcomp/tmp/1znhr1338380585.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> pairs(t(y))
> dev.off()
null device 
          1 
> y<-y1
> z <- as.data.frame(t(y))
> postscript(file="/var/wessaorg/rcomp/tmp/2di3v1338380585.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> (r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=par2,col=par1))
$stats
     [,1] [,2]
[1,]   -1 -4.0
[2,]    0 -1.0
[3,]    0 -0.6
[4,]    1  1.0
[5,]    2  4.0

$n
[1] 98 98

$conf
           [,1]       [,2]
[1,] -0.1596041 -0.9192082
[2,]  0.1596041 -0.2807918

$out
 [1] -5 -5 -5 -2 -2 -2 -2 -2 -2 -2  3  3  3  3  3  4  4  4  4  4  4  5  5  5  7
[26] -9 -6 -5 -5 -5 -5 -5  5

$group
 [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2

$names
[1] "female" "male"  

Warning message:
In bxp(list(stats = c(-1, 0, 0, 1, 2, -4, -1, -0.6, 1, 4), n = c(98,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,hyperlink('http://www.xycoon.com/overview.htm','Boxplot statistics','Boxplot overview'),6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',1,TRUE)
> a<-table.element(a,hyperlink('http://www.xycoon.com/lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE)
> a<-table.element(a,hyperlink('http://www.xycoon.com/lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE)
> a<-table.element(a,hyperlink('http://www.xycoon.com/central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE)
> a<-table.element(a,hyperlink('http://www.xycoon.com/upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE)
> a<-table.element(a,hyperlink('http://www.xycoon.com/upper_whisker.htm','upper whisker','definition of upper whisker'),1,TRUE)
> a<-table.row.end(a)
> for (i in 1:length(y[,1]))
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
+ for (j in 1:5)
+ {
+ a<-table.element(a,signif(r$stats[j,i], digits=4))
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/3a8fi1338380585.tab") 
> if (par2){
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Boxplot Notches',4,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'Variable',1,TRUE)
+ a<-table.element(a,'lower bound',1,TRUE)
+ a<-table.element(a,'median',1,TRUE)
+ a<-table.element(a,'upper bound',1,TRUE)
+ a<-table.row.end(a)
+ for (i in 1:length(y[,1]))
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
+ a<-table.element(a,signif(r$conf[1,i], digits=4))
+ a<-table.element(a, signif(r$stats[3,i], digits=4))
+ a<-table.element(a,signif(r$conf[2,i], digits=4))
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/4kw2r1338380585.tab") 
+ }
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Boxplot Means',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',1,TRUE)
> a<-table.element(a,hyperlink('http://www.xycoon.com/trimmed_mean.htm','trimmed mean','definition of trimmed mean'),1,TRUE)
> a<-table.element(a,hyperlink('http://www.xycoon.com/unbiased1.htm','unbiased SD','definition of unbiased SD'),1,TRUE)
> a<-table.row.end(a)
> for (i in 1:length(y[,1]))
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
+ a<-table.element(a,signif(mean(z[i], trim=par3/100, na.rm=TRUE), digits=4))
+ a<-table.element(a,signif(sd(z[i], na.rm=TRUE), digits=4))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/5xp9e1338380585.tab") 
> 
> try(system("convert tmp/1znhr1338380585.ps tmp/1znhr1338380585.png",intern=TRUE))
character(0)
> try(system("convert tmp/2di3v1338380585.ps tmp/2di3v1338380585.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.760   0.219   0.975