R version 2.8.1 (2008-12-22)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(20.050,19.260,19.280,19.100,18.955,18.265,17.760,18.760,19.280,18.920,18.950,18.490,18.470,18.570,18.900,18.485,18.635,18.865,18.860,18.400,18.515,18.950,18.830,18.840,19.200,19.340,20.780,20.270,20.270,20.270,20.250,20.310,19.660,19.760,19.750,19.470,19.320,19.360,19.600,20.140,19.660,19.790,19.670,19.590,19.340,19.330,19.430,19.520,19.400,19.910,19.800,19.830,20.100,20.260,20.310,20.450,19.990,20.095,20.365,19.740,20.100,19.910,20.060,20.440,20.740,21.480,21.050,21.850,22.490,21.660,21.650,21.680,23.020,23.100,22.650,22.440,22.910,22.980,22.535)
> par4 = 'Unknown'
> par3 = 'FALSE'
> par2 = 'grey'
> par1 = ''
> xlab = 'goudprijs in euro/kg'
> main = 'goudprijs'
> #'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/1x3ma1236019671.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] 17.5 18.0 18.5 19.0 19.5 20.0 20.5 21.0 21.5 22.0 22.5 23.0 23.5

$counts
 [1]  1  5 13 13 15 16  2  2  4  2  4  2

$intensities
 [1] 0.02531646 0.12658228 0.32911392 0.32911392 0.37974684 0.40506329
 [7] 0.05063291 0.05063291 0.10126582 0.05063291 0.10126582 0.05063290

$density
 [1] 0.02531646 0.12658228 0.32911392 0.32911392 0.37974684 0.40506329
 [7] 0.05063291 0.05063291 0.10126582 0.05063291 0.10126582 0.05063290

$mids
 [1] 17.75 18.25 18.75 19.25 19.75 20.25 20.75 21.25 21.75 22.25 22.75 23.25

$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/2nfhr1236019671.tab") 
> 
> system("convert tmp/1x3ma1236019671.ps tmp/1x3ma1236019671.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.356   0.147   0.418