R version 2.6.0 (2007-10-03)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(108.4,117,103.8,100.8,110.6,104,112.6,107.3,98.9,109.8,104.9,102.2,123.9,124.9,112.7,121.9,100.6,104.3,120.4,107.5,102.9,125.6,107.5,108.8,128.4,121.1,119.5,128.7,108.7,105.5,119.8,111.3,110.6,120.1,97.5,107.7,127.3,117.2,119.8,116.2,111,112.4,130.6,109.1,118.8,123.9,101.6,112.8,128,129.6,125.8,119.5,115.7,113.6,129.7,112,116.8,126.3,112.9,115.9)
> par2 = 'grey'
> par1 = ''
> main = 'Histogram'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: Wessa P., (2007), Histogram (v1.0.3) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_histogram.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> par1 <- as.numeric(par1)
> postscript(file="/var/www/html/rcomp/tmp/1tebc1197936135.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (is.na(par1)) {
+ myhist<-hist(x,col=par2)
+ } else {
+ if (par1 < 0) par1 <- 3
+ if (par1 > 50) par1 <- 50
+ myhist<-hist(x,breaks=par1,col=par2)
+ }
> dev.off()
null device 
          1 
> myhist
$breaks
[1]  95 100 105 110 115 120 125 130 135

$counts
[1]  2  9 10 11 11  7  9  1

$intensities
[1] 0.006666665 0.030000000 0.033333333 0.036666667 0.036666667 0.023333333
[7] 0.030000000 0.003333333

$density
[1] 0.006666665 0.030000000 0.033333333 0.036666667 0.036666667 0.023333333
[7] 0.030000000 0.003333333

$mids
[1]  97.5 102.5 107.5 112.5 117.5 122.5 127.5 132.5

$xname
[1] "x"

$equidist
[1] TRUE

attr(,"class")
[1] "histogram"
> n <- length(x)
> load(file='/var/www/html/rcomp/createtable')
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,hyperlink('http://www.xycoon.com/histogram.htm','Frequency Table (Histogram)',''),6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Bins',header=TRUE)
> a<-table.element(a,'Midpoint',header=TRUE)
> a<-table.element(a,'Abs. Frequency',header=TRUE)
> a<-table.element(a,'Rel. Frequency',header=TRUE)
> a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
> a<-table.element(a,'Density',header=TRUE)
> a<-table.row.end(a)
> crf <- 0
> for (i in 1:(length(myhist$breaks)-1)) {
+ a<-table.row.start(a)
+ dum <- paste('[',myhist$breaks[i],sep='')
+ dum <- paste(dum,myhist$breaks[i+1],sep=',')
+ dum <- paste(dum,'[',sep='')
+ a<-table.element(a,dum,header=TRUE)
+ a<-table.element(a,myhist$mids[i])
+ a<-table.element(a,myhist$counts[i])
+ rf <- myhist$counts[i]/n
+ crf <- crf + rf
+ a<-table.element(a,round(rf,6))
+ a<-table.element(a,round(crf,6))
+ a<-table.element(a,round(myhist$density[i],6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/23o0n1197936135.tab") 
> 
> system("convert tmp/1tebc1197936135.ps tmp/1tebc1197936135.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.600   0.162   0.652