R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(40801,49081,52431,59650,75428,78705,68870,70641,80074,76464,69976,92917,92559,73981,71107,96942,86270,69610,57768,80077,71454,70382,69881,84530,79322,80181,82137,88439,91575,82909,73282,94089,108112,95653,85273,105093,102275,99308,79687,93263,114918,103374,65124,104045,101183,95492,85035,90692,107486,98179,82551,106804,110898,89950,65184,95357,98280,92146,77874,100039,104777,102341,71316,88838,85457,70784,70522,88629,88452,98886,79601,108135,113835,101617,68698,79182,86003,84165,68550,90385,100368,99081,81288,103491,111695,82504,62237,78249,92341,84412,75102,90461,106451,98379,72615,98367,116949,95832,68060,83923,87653,78054,57566,78784,88916,84662,63442,77773,88102,87972,61790,95276,104418,95420,82141,104064,96287,78426,59111,76837,76615,65860,57703,68656,77955,65856,60947,69885,80550,73694,67538,76326,84727)
> par4 = 'Unknown'
> par3 = 'FALSE'
> par2 = 'grey'
> par1 = '5'
> xlab = 'aantal'
> main = 'Histogram autoproductie'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), 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: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> par1 <- as.numeric(par1)
> if (par3 == 'TRUE') par3 <- TRUE
> if (par3 == 'FALSE') par3 <- FALSE
> if (par4 == 'Unknown') par1 <- as.numeric(par1)
> if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
> if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
> if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
> if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
> if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
> if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
> if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
> if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
> if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
> postscript(file="/var/www/html/rcomp/tmp/1pqk71267112082.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (is.na(par1)) {
+ myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
+ } else {
+ if (par1 < 0) par1 <- 3
+ if (par1 > 50) par1 <- 50
+ myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
+ }
> dev.off()
null device 
          1 
> myhist
$breaks
[1]  40000  60000  80000 100000 120000

$counts
[1]  8 47 55 23

$intensities
[1] 3.007519e-06 1.766917e-05 2.067669e-05 8.646615e-06

$density
[1] 3.007519e-06 1.766917e-05 2.067669e-05 8.646615e-06

$mids
[1]  50000  70000  90000 110000

$xname
[1] "x"

$equidist
[1] TRUE

attr(,"class")
[1] "histogram"
> n <- length(x)
> 
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> 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
> if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
> mynumrows <- (length(myhist$breaks)-1)
> for (i in 1:mynumrows) {
+ a<-table.row.start(a)
+ if (i == 1)
+ dum <- paste('[',myhist$breaks[i],sep='')
+ else
+ dum <- paste(mybracket,myhist$breaks[i],sep='')
+ dum <- paste(dum,myhist$breaks[i+1],sep=',')
+ if (i==mynumrows)
+ dum <- paste(dum,']',sep='')
+ else
+ dum <- paste(dum,mybracket,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/21pls1267112082.tab") 
> try(system("convert tmp/1pqk71267112082.ps tmp/1pqk71267112082.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.355   0.155   0.451