R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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> x <- array(list(111
+ ,45
+ ,27
+ ,52
+ ,102
+ ,50
+ ,18
+ ,55
+ ,108
+ ,49
+ ,19
+ ,80
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+ ,118
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+ ,29
+ ,60
+ ,79
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+ ,88
+ ,69
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+ ,120
+ ,62
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+ ,55
+ ,100
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+ ,27
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+ ,109
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+ ,72
+ ,18
+ ,14
+ ,111
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+ ,34
+ ,45
+ ,105
+ ,42
+ ,25
+ ,35
+ ,118
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+ ,26
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+ ,28
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+ ,21
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+ ,25
+ ,48
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+ ,27
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+ ,60
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+ ,75
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+ ,32
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+ ,105
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+ ,35
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+ ,60
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+ ,20
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+ ,45
+ ,24
+ ,60
+ ,88
+ ,55
+ ,21
+ ,20
+ ,90
+ ,44
+ ,29
+ ,50
+ ,85
+ ,57
+ ,30
+ ,50
+ ,106
+ ,33
+ ,37
+ ,75
+ ,109
+ ,30
+ ,33
+ ,70
+ ,75
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+ ,20
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+ ,108
+ ,40
+ ,31
+ ,50
+ ,86
+ ,48
+ ,29
+ ,55
+ ,98
+ ,65
+ ,37
+ ,15
+ ,99
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+ ,41
+ ,26
+ ,95
+ ,70
+ ,28
+ ,25
+ ,88
+ ,78
+ ,19
+ ,30
+ ,111
+ ,44
+ ,28
+ ,60
+ ,103
+ ,48
+ ,33
+ ,40
+ ,107
+ ,52
+ ,32
+ ,40
+ ,118
+ ,40
+ ,28
+ ,50)
+ ,dim=c(4
+ ,88)
+ ,dimnames=list(c('V1'
+ ,'V2'
+ ,'V3'
+ ,'V4')
+ ,1:88))
>  y <- array(NA,dim=c(4,88),dimnames=list(c('V1','V2','V3','V4'),1:88))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> par3 = '10'
> par2 = 'TRUE'
> par1 = '3'
> ylab = 'Test Scores'
> xlab = 'CARE Variable Names'
> main = 'CARE AGE 7 DATA'
> par3 <- '10'
> par2 <- 'TRUE'
> par1 <- '3'
> #'GNU S' R Code compiled by R2WASP v. 1.2.327 ()
> #Author: aston2
> #To cite this work: Ian E. Holliday, 2009, CARE BoxPlot and Descriptives (v1.0.1) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/Ian.Holliday/rwasp_varia1.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/1qyuf1385915034.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/2ngio1385915034.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] [,3] [,4]
[1,]   83   36   20   24
[2,]   92   46   25   40
[3,]  100   50   28   52
[4,]  107   58   32   60
[5,]  118   69   38   70

$n
[1] 71 71 71 71

$conf
          [,1]     [,2]     [,3]     [,4]
[1,]  97.18733 47.74986 26.68742 48.24977
[2,] 102.81267 52.25014 29.31258 55.75023

$out
numeric(0)

$group
numeric(0)

$names
[1] "V1" "V2" "V3" "V4"

> 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,round(r$stats[j,i], digits=2))
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/3laxl1385915034.tab") 
> if (par2){
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Boxplot Notches',4,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'Variable',1,TRUE)
+ a<-table.element(a,'lower bound',1,TRUE)
+ a<-table.element(a,'median',1,TRUE)
+ a<-table.element(a,'upper bound',1,TRUE)
+ a<-table.row.end(a)
+ for (i in 1:length(y[,1]))
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
+ a<-table.element(a,round(r$conf[1,i], digits=2))
+ a<-table.element(a, round(r$stats[3,i], digits=2))
+ a<-table.element(a,round(r$conf[2,i], digits=2))
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/4xi2o1385915034.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,round(mean(unlist(z[i]), trim=par3/100, na.rm=TRUE), digits=2))
+ a<-table.element(a,round(sd(unlist(z[i]), na.rm=TRUE), digits=2))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/5r5mk1385915034.tab") 
> 
> try(system("convert tmp/1qyuf1385915034.ps tmp/1qyuf1385915034.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ngio1385915034.ps tmp/2ngio1385915034.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.121   0.848   3.882