R version 2.7.0 (2008-04-22)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(30811,29877,28303,27605,26074,26112,32350,35804,36574,34486,32158,30965,30505,29629,28169,26972,25752,25027,31530,34705,35223,33471,29239,27954,27727,27314,26576,25775,24669,24480,30834,33218,33783,32546,30661,30070,29722,29075,28136,27315,26125,26057,32601,34214,35232,33565,31931,31779,31626,31230,29574,28312,27186,27397,33387,34996,36251,34284,32349,30991,29916,29067,27978,26719,25544,25703,31703,33733,35121,32714,31111,29977,30375,29323,28193,27222,26904,27952,33512,36215,36856,35341,32624,30885,31108,30267,28645,28474,25805,24756,30437,33177,33069,31342,28912,28373,28599,27884,25727,25393,23147,23164,29286,31008)
> par4 = 'Unknown'
> par3 = 'FALSE'
> par2 = 'grey'
> par1 = ''
> xlab = 'Werkloosheid'
> main = 'Histogram'
> #'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/16t7f1229079768.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] 22000 24000 26000 28000 30000 32000 34000 36000 38000

$counts
[1]  2 11 19 21 21 16 10  4

$intensities
[1] 9.615385e-06 5.288462e-05 9.134615e-05 1.009615e-04 1.009615e-04
[6] 7.692308e-05 4.807692e-05 1.923077e-05

$density
[1] 9.615385e-06 5.288462e-05 9.134615e-05 1.009615e-04 1.009615e-04
[6] 7.692308e-05 4.807692e-05 1.923077e-05

$mids
[1] 23000 25000 27000 29000 31000 33000 35000 37000

$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/2a26i1229079768.tab") 
> 
> system("convert tmp/16t7f1229079768.ps tmp/16t7f1229079768.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.117   0.243   1.185