R version 2.11.1 (2010-05-31)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

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Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- array(list('yes'
+ ,65.67
+ ,'yes'
+ ,67.80
+ ,'yes'
+ ,66.27
+ ,'yes'
+ ,66.00
+ ,'yes'
+ ,58.80
+ ,'yes'
+ ,72.87
+ ,'yes'
+ ,70.73
+ ,'yes'
+ ,55.00
+ ,'yes'
+ ,64.00
+ ,'yes'
+ ,54.73
+ ,'yes'
+ ,55.07
+ ,'yes'
+ ,59.73
+ ,'yes'
+ ,37.93
+ ,'yes'
+ ,71.53
+ ,'yes'
+ ,66.73
+ ,'yes'
+ ,70.67
+ ,'yes'
+ ,70.47
+ ,'yes'
+ ,63.73
+ ,'yes'
+ ,65.47
+ ,'yes'
+ ,59.80
+ ,'yes'
+ ,65.60
+ ,'yes'
+ ,57.47
+ ,'yes'
+ ,71.47
+ ,'yes'
+ ,66.80
+ ,'yes'
+ ,63.73
+ ,'yes'
+ ,63.53
+ ,'yes'
+ ,59.87
+ ,'yes'
+ ,65.93
+ ,'yes'
+ ,56.67
+ ,'yes'
+ ,65.47
+ ,'yes'
+ ,59.53
+ ,'yes'
+ ,66.20
+ ,'yes'
+ ,67.53
+ ,'yes'
+ ,61.93
+ ,'yes'
+ ,52.33
+ ,'yes'
+ ,70.80
+ ,'yes'
+ ,71.67
+ ,'yes'
+ ,64.20
+ ,'yes'
+ ,66.73
+ ,'yes'
+ ,63.67
+ ,'yes'
+ ,62.40
+ ,'yes'
+ ,64.40
+ ,'yes'
+ ,59.67
+ ,'yes'
+ ,61.67
+ ,'yes'
+ ,62.60
+ ,'yes'
+ ,47.20
+ ,'yes'
+ ,59.67
+ ,'yes'
+ ,57.67
+ ,'yes'
+ ,69.87
+ ,'yes'
+ ,62.67
+ ,'yes'
+ ,65.80
+ ,'yes'
+ ,60.40
+ ,'yes'
+ ,66.00
+ ,'yes'
+ ,64.87
+ ,'yes'
+ ,61.47
+ ,'yes'
+ ,62.40
+ ,'yes'
+ ,67.60
+ ,'yes'
+ ,70.73
+ ,'yes'
+ ,66.00
+ ,'yes'
+ ,61.60
+ ,'yes'
+ ,61.27
+ ,'yes'
+ ,65.80
+ ,'yes'
+ ,60.33
+ ,'yes'
+ ,53.87
+ ,'yes'
+ ,64.67
+ ,'yes'
+ ,65.00
+ ,'yes'
+ ,58.27
+ ,'yes'
+ ,64.47
+ ,'yes'
+ ,59.73
+ ,'yes'
+ ,62.13
+ ,'yes'
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+ ,'yes'
+ ,60.87
+ ,'yes'
+ ,62.80
+ ,'yes'
+ ,62.87
+ ,'yes'
+ ,62.87
+ ,'yes'
+ ,73.00
+ ,'yes'
+ ,69.53
+ ,'yes'
+ ,67.33
+ ,'yes'
+ ,61.00
+ ,'yes'
+ ,57.47
+ ,'yes'
+ ,62.40
+ ,'yes'
+ ,62.80
+ ,'yes'
+ ,69.93
+ ,'yes'
+ ,51.53
+ ,'yes'
+ ,65.80
+ ,'yes'
+ ,62.93
+ ,'yes'
+ ,36.33
+ ,'yes'
+ ,62.93
+ ,'yes'
+ ,61.40
+ ,'yes'
+ ,57.80
+ ,'yes'
+ ,59.80
+ ,'yes'
+ ,66.73
+ ,'yes'
+ ,55.93
+ ,'yes'
+ ,63.73
+ ,'yes'
+ ,63.67
+ ,'yes'
+ ,63.87
+ ,'yes'
+ ,59.53
+ ,'yes'
+ ,64.07
+ ,'yes'
+ ,65.07
+ ,'yes'
+ ,58.27
+ ,'yes'
+ ,59.13
+ ,'yes'
+ ,64.60
+ ,'yes'
+ ,63.20
+ ,'yes'
+ ,66.53
+ ,'yes'
+ ,56.33
+ ,'yes'
+ ,64.60
+ ,'yes'
+ ,64.67
+ ,'yes'
+ ,58.80
+ ,'yes'
+ ,64.27
+ ,'yes'
+ ,68.73
+ ,'yes'
+ ,64.67
+ ,'yes'
+ ,66.00
+ ,'yes'
+ ,52.67
+ ,'yes'
+ ,66.73
+ ,'yes'
+ ,62.80
+ ,'yes'
+ ,66.00
+ ,'yes'
+ ,63.60
+ ,'yes'
+ ,62.20
+ ,'yes'
+ ,64.67
+ ,'yes'
+ ,61.60
+ ,'yes'
+ ,58.93
+ ,'yes'
+ ,66.27
+ ,'yes'
+ ,64.27
+ ,'yes'
+ ,64.67
+ ,'yes'
+ ,63.53
+ ,'yes'
+ ,63.53
+ ,'yes'
+ ,66.47
+ ,'yes'
+ ,62.40
+ ,'yes'
+ ,60.73
+ ,'yes'
+ ,64.67
+ ,'yes'
+ ,72.07
+ ,'yes'
+ ,67.47
+ ,'yes'
+ ,68.60
+ ,'yes'
+ ,64.67
+ ,'yes'
+ ,61.33
+ ,'yes'
+ ,66.53
+ ,'yes'
+ ,65.20
+ ,'yes'
+ ,64.20
+ ,'yes'
+ ,72.73
+ ,'yes'
+ ,67.47
+ ,'yes'
+ ,62.60
+ ,'yes'
+ ,61.60
+ ,'yes'
+ ,63.00
+ ,'yes'
+ ,65.00
+ ,'yes'
+ ,65.07
+ ,'yes'
+ ,58.40
+ ,'yes'
+ ,65.67
+ ,'yes'
+ ,61.47
+ ,'yes'
+ ,70.07
+ ,'yes'
+ ,58.33
+ ,'yes'
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+ ,'yes'
+ ,64.80
+ ,'yes'
+ ,59.47
+ ,'yes'
+ ,63.00
+ ,'yes'
+ ,56.20
+ ,'yes'
+ ,64.73
+ ,'yes'
+ ,62.00
+ ,'yes'
+ ,66.20
+ ,'yes'
+ ,63.33
+ ,'yes'
+ ,64.13
+ ,'yes'
+ ,70.07
+ ,'yes'
+ ,63.07
+ ,'yes'
+ ,57.13
+ ,'yes'
+ ,61.93
+ ,'yes'
+ ,64.67
+ ,'yes'
+ ,60.80
+ ,'yes'
+ ,68.07
+ ,'yes'
+ ,68.67
+ ,'yes'
+ ,66.87
+ ,'yes'
+ ,58.07
+ ,'yes'
+ ,63.27
+ ,'yes'
+ ,71.07
+ ,'yes'
+ ,61.00
+ ,'yes'
+ ,59.53
+ ,'yes'
+ ,57.87
+ ,'yes'
+ ,59.13
+ ,'yes'
+ ,60.13
+ ,'yes'
+ ,67.07
+ ,'yes'
+ ,59.00
+ ,'yes'
+ ,63.47
+ ,'yes'
+ ,72.73
+ ,'yes'
+ ,66.53
+ ,'yes'
+ ,62.53
+ ,'yes'
+ ,69.60
+ ,'yes'
+ ,58.20
+ ,'yes'
+ ,63.13
+ ,'yes'
+ ,57.67
+ ,'yes'
+ ,60.13
+ ,'yes'
+ ,71.67
+ ,'yes'
+ ,62.67
+ ,'yes'
+ ,68.80
+ ,'yes'
+ ,59.73
+ ,'yes'
+ ,62.40
+ ,'yes'
+ ,63.67
+ ,'yes'
+ ,54.20
+ ,'yes'
+ ,60.13
+ ,'yes'
+ ,70.80
+ ,'yes'
+ ,67.13
+ ,'yes'
+ ,63.33
+ ,'yes'
+ ,61.80
+ ,'yes'
+ ,68.80
+ ,'yes'
+ ,66.00
+ ,'yes'
+ ,60.47
+ ,'yes'
+ ,61.27
+ ,'yes'
+ ,59.60
+ ,'yes'
+ ,61.93
+ ,'yes'
+ ,66.93
+ ,'yes'
+ ,61.40
+ ,'yes'
+ ,61.87
+ ,'yes'
+ ,66.07
+ ,'yes'
+ ,55.47
+ ,'yes'
+ ,67.60
+ ,'yes'
+ ,59.40
+ ,'yes'
+ ,66.60
+ ,'yes'
+ ,70.73
+ ,'yes'
+ ,41.87
+ ,'yes'
+ ,70.73
+ ,'yes'
+ ,66.00
+ ,'yes'
+ ,69.60
+ ,'yes'
+ ,70.67
+ ,'yes'
+ ,68.67
+ ,'yes'
+ ,68.87
+ ,'yes'
+ ,62.60
+ ,'yes'
+ ,64.07
+ ,'yes'
+ ,62.60
+ ,'no'
+ ,58.33
+ ,'no'
+ ,65.67
+ ,'no'
+ ,56.67
+ ,'no'
+ ,43.67
+ ,'no'
+ ,61.00
+ ,'no'
+ ,65.67
+ ,'no'
+ ,61.33
+ ,'no'
+ ,66.33
+ ,'no'
+ ,62.00
+ ,'no'
+ ,63.33
+ ,'no'
+ ,61.00
+ ,'no'
+ ,61.00
+ ,'no'
+ ,62.33
+ ,'no'
+ ,47.00
+ ,'no'
+ ,57.33
+ ,'no'
+ ,60.33
+ ,'no'
+ ,60.00
+ ,'no'
+ ,51.00
+ ,'no'
+ ,58.00
+ ,'no'
+ ,59.33
+ ,'no'
+ ,63.67
+ ,'no'
+ ,64.00
+ ,'no'
+ ,54.67
+ ,'no'
+ ,58.67
+ ,'no'
+ ,53.67
+ ,'no'
+ ,60.00
+ ,'no'
+ ,66.67
+ ,'no'
+ ,60.00
+ ,'no'
+ ,51.00
+ ,'no'
+ ,60.33
+ ,'no'
+ ,61.67
+ ,'no'
+ ,63.00
+ ,'no'
+ ,60.67
+ ,'no'
+ ,64.00
+ ,'no'
+ ,71.33
+ ,'no'
+ ,60.67
+ ,'no'
+ ,66.33
+ ,'no'
+ ,59.67
+ ,'no'
+ ,52.67
+ ,'no'
+ ,61.00
+ ,'no'
+ ,64.67
+ ,'no'
+ ,62.67
+ ,'no'
+ ,58.33
+ ,'no'
+ ,65.33
+ ,'no'
+ ,63.67
+ ,'no'
+ ,58.67
+ ,'no'
+ ,59.67
+ ,'no'
+ ,63.67
+ ,'no'
+ ,53.33
+ ,'no'
+ ,57.67
+ ,'no'
+ ,64.00
+ ,'no'
+ ,66.00
+ ,'no'
+ ,59.00
+ ,'no'
+ ,62.33
+ ,'no'
+ ,61.33
+ ,'no'
+ ,56.33
+ ,'no'
+ ,64.00
+ ,'no'
+ ,64.00
+ ,'no'
+ ,68.00
+ ,'no'
+ ,63.67
+ ,'no'
+ ,49.67
+ ,'no'
+ ,65.67
+ ,'no'
+ ,58.00
+ ,'no'
+ ,63.67
+ ,'no'
+ ,65.33
+ ,'no'
+ ,47.00
+ ,'no'
+ ,58.67
+ ,'no'
+ ,65.67
+ ,'no'
+ ,66.00
+ ,'no'
+ ,66.67
+ ,'no'
+ ,60.33
+ ,'no'
+ ,55.33
+ ,'no'
+ ,65.00
+ ,'no'
+ ,64.67
+ ,'no'
+ ,60.00
+ ,'no'
+ ,67.67
+ ,'no'
+ ,55.33
+ ,'no'
+ ,57.00
+ ,'no'
+ ,66.67
+ ,'no'
+ ,67.33
+ ,'no'
+ ,61.67
+ ,'no'
+ ,64.00
+ ,'no'
+ ,59.67
+ ,'no'
+ ,70.33
+ ,'no'
+ ,64.67
+ ,'no'
+ ,65.00
+ ,'no'
+ ,56.33
+ ,'no'
+ ,61.67
+ ,'no'
+ ,65.00
+ ,'no'
+ ,56.00
+ ,'no'
+ ,44.00
+ ,'no'
+ ,69.00
+ ,'no'
+ ,66.00
+ ,'no'
+ ,59.67
+ ,'no'
+ ,59.00
+ ,'no'
+ ,63.67
+ ,'no'
+ ,53.67
+ ,'no'
+ ,57.33
+ ,'no'
+ ,64.00
+ ,'no'
+ ,61.33
+ ,'no'
+ ,63.67
+ ,'no'
+ ,56.00
+ ,'no'
+ ,54.33
+ ,'no'
+ ,4.33
+ ,'no'
+ ,56.67
+ ,'no'
+ ,59.33
+ ,'no'
+ ,51.00
+ ,'no'
+ ,58.00
+ ,'no'
+ ,60.33
+ ,'no'
+ ,58.67
+ ,'no'
+ ,61.33
+ ,'no'
+ ,58.00
+ ,'no'
+ ,60.00
+ ,'no'
+ ,70.00
+ ,'no'
+ ,63.33
+ ,'no'
+ ,56.67
+ ,'no'
+ ,55.67
+ ,'no'
+ ,60.67
+ ,'no'
+ ,55.00
+ ,'no'
+ ,58.67
+ ,'no'
+ ,59.33
+ ,'no'
+ ,49.00
+ ,'no'
+ ,3.00
+ ,'no'
+ ,63.00
+ ,'no'
+ ,59.67
+ ,'no'
+ ,49.33
+ ,'no'
+ ,68.67
+ ,'no'
+ ,60.67
+ ,'no'
+ ,61.33
+ ,'no'
+ ,61.00
+ ,'no'
+ ,59.67
+ ,'no'
+ ,65.67
+ ,'no'
+ ,63.33
+ ,'no'
+ ,62.00
+ ,'no'
+ ,62.00
+ ,'no'
+ ,60.00
+ ,'no'
+ ,48.33
+ ,'no'
+ ,57.67
+ ,'no'
+ ,58.00
+ ,'no'
+ ,55.33
+ ,'no'
+ ,60.00
+ ,'no'
+ ,62.00
+ ,'no'
+ ,62.33
+ ,'no'
+ ,66.67
+ ,'no'
+ ,55.67
+ ,'no'
+ ,60.67
+ ,'no'
+ ,58.00
+ ,'no'
+ ,61.67
+ ,'no'
+ ,47.00
+ ,'no'
+ ,51.00
+ ,'no'
+ ,54.67
+ ,'no'
+ ,64.33
+ ,'no'
+ ,61.67
+ ,'no'
+ ,61.33
+ ,'no'
+ ,61.67
+ ,'no'
+ ,60.00
+ ,'no'
+ ,54.00
+ ,'no'
+ ,63.00
+ ,'no'
+ ,60.33
+ ,'no'
+ ,58.00
+ ,'no'
+ ,64.33
+ ,'no'
+ ,58.67
+ ,'no'
+ ,58.67
+ ,'no'
+ ,59.33
+ ,'no'
+ ,60.33
+ ,'no'
+ ,61.67
+ ,'no'
+ ,62.33
+ ,'no'
+ ,64.67
+ ,'no'
+ ,62.00
+ ,'no'
+ ,63.67
+ ,'no'
+ ,54.33
+ ,'no'
+ ,64.00
+ ,'no'
+ ,61.67
+ ,'no'
+ ,62.00
+ ,'no'
+ ,63.67
+ ,'no'
+ ,56.00
+ ,'no'
+ ,6.33
+ ,'no'
+ ,54.67
+ ,'no'
+ ,61.33
+ ,'no'
+ ,58.00
+ ,'no'
+ ,66.00
+ ,'no'
+ ,61.00
+ ,'no'
+ ,60.00
+ ,'no'
+ ,63.33
+ ,'no'
+ ,63.33
+ ,'no'
+ ,55.00
+ ,'no'
+ ,56.67
+ ,'no'
+ ,54.00
+ ,'no'
+ ,59.33)
+ ,dim=c(2
+ ,414)
+ ,dimnames=list(c('PMent'
+ ,'Exam')
+ ,1:414))
>  y <- array(NA,dim=c(2,414),dimnames=list(c('PMent','Exam'),1:414))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
There were 50 or more warnings (use warnings() to see the first 50)
> par5 = '2'
> par4 = '1'
> par3 = '15'
> par2 = 'FALSE'
> par1 = '3'
> ylab = 'Exam Score'
> xlab = 'Placement'
> main = 'Reddy-Moores Placement Data'
> #par5 <- '2'
> #par4 <- '1'
> #par3 <- '30'
> #par2 <- 'FALSE'
> #par1 <- '3'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Dr. Ian E. Holliday
> #To cite this work: Ian E. Holliday, 2009, YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: 
> #Technical description: 
> 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.')}
> par4 <- as.numeric(par4) #factor column
> par5 <- as.numeric(par5) # response column
> x <- t(x)
> x1<-as.numeric(x[,par5]) # response
> f1<-as.character(x[,par4]) # factor
> x2<-x1[f1=='yes']
> f2 <- f1[f1=='yes']
> lotrm<-as.integer(length(x2)*par3/100)
> hitrm<-as.integer(length(x2)*(100-par3)/100)
> srt<-order(x2,f2)
> trmx1<-x2[srt[lotrm:hitrm]]
> trmf1<-f2[srt[lotrm:hitrm]]
> x3<-x1[f1=='no']
> f3 <- f1[f1=='no']
> lotrm<-as.integer(length(x3)*par3/100)
> hitrm<-as.integer(length(x3)*(100-par3)/100)
> srt<-order(x3,f3)
> trmx2<-x3[srt[lotrm:hitrm]]
> trmf2<-f3[srt[lotrm:hitrm]]
> xtrm<-c(trmx1,trmx2)
> ftrm<-c(trmf1,trmf2)
> xtrm[1:6]
[1] 58.80 58.93 59.00 59.13 59.13 59.40
> ftrm[1:6]
[1] "yes" "yes" "yes" "yes" "yes" "yes"
> postscript(file="/var/www/rcomp/tmp/1q0de1287246334.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> r<-boxplot(xtrm~as.factor(ftrm), col=par1, notch=par2, names =c('yes', 'no'), main='Reddy and Moores Placements Data', xlab='Placement Student', ylab='Degree Grade')
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/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,'Placement',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)
> a<-table.row.start(a)
> a<-table.element(a,'yes',1,TRUE)
> for (j in 1:5)
+ {
+ a<-table.element(a,r$stats[j,1])
+ }
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'no',1,TRUE)
> for (j in 1:5)
+ {
+ a<-table.element(a,r$stats[j,2])
+ }
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/24sb51287246334.tab") 
> tr.mns<-tapply(x1,f1,mean, trim=par3/100)
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,hyperlink('http://www.xycoon.com/trimmed_mean.htm','Trimmed Mean Equation','Trimmed Mean'),2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Placement')
> a<-table.element(a,'No Placement')
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,tr.mns[1])
> a<-table.element(a,tr.mns[2])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/3x1sq1287246334.tab") 
> 
> try(system("convert tmp/1q0de1287246334.ps tmp/1q0de1287246334.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
   0.81    0.37    1.15