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(132.8,132.5,131.4,131.4,130.7,131.5,131.2,130.1,130.5,129,128.2,128.4,127.3,127.7,127,123.9,125.4,124.6,124.5,124.8,124.1,124.2,122.8,122.3,121.1,121.7,122.2,122.2,122.7,121.7,121,119.8,120.2,116.6,116,118,117.1,116.2,113.3,114.3,113.6,113,112.9,112.7,112.5,113,111.9,110.9,109.8,108.3,109.2,109.2,108.7,109.8,110.8,110,109.6,109.5,110.8,111.6,113.1,114.3,114.1,113.8,112.6,112.7,111.5,110.7,110.4,109.7,110,111.3,109,108.2,107.2,108.7,110.3,110.3,109.5,109.5,109.4,109.6,111.3,110,109.5,110.693,109.195,108.095,108.199,106.87,105.278,108.711,111.192,109.641,109.42,109.935,111.126,110.733,110.34,111.766,111.294,111.54,112.008,111.007,114.963,112.045,110.703,108.894,107.51,111.35,112.964,115.203,115.182,115.191,112.346,110.774,113.07,111.138,109.092,107.971,107.051)
> par4 = 'Unknown'
> par3 = 'FALSE'
> par2 = 'grey'
> par1 = ''
> xlab = 'x'
> 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/14qf81265579096.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] 105 110 115 120 125 130 135

$counts
[1] 32 48  9 16  7  9

$intensities
[1] 0.05289256 0.07933884 0.01487603 0.02644628 0.01157025 0.01487603

$density
[1] 0.05289256 0.07933884 0.01487603 0.02644628 0.01157025 0.01487603

$mids
[1] 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)
> 
> #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/2xc6t1265579096.tab") 
> 
> try(system("convert tmp/14qf81265579096.ps tmp/14qf81265579096.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.369   0.154   0.456