R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(59,34,49,50,34,15,107,9,28,41,46,66,48,37,72,50,90,64,66,38,56,60,96,43,37,49,48,63,62,35,62,59,47,72,24,82,28,60,90,2,47,30,27,74,75,41,49,42,31,32,101,22,51,77,42,47,7,91,18,28,61,68,95,29,65,71,57,87,66,49,58,55,48,40,52,52,33,51,20,54,47,40,77,68,51,38,42,33,96,40,54,22,34,36,31,80,67,41,57,51,39,61,68,45,51,64,74,24,86,63,65,40,12,43,46,56,65,61,28,26,37,17,35,28,62,23,28,28,68,6,12,42,17,28,37,88,6,58,6,9,13,37,25,68,51,22,36,27,11,42,76,48,30,91,70,98,44,27,24,64,98,23,33,90,36,57,46,39,32,69,83,54,48,71,29,38,55,26,62,38,21,23,4,50,76,2,13,5,37,26,42,27,22,16,39,33,20,18,28,20,21,14,38,30,25,12,22,50,37,34,26,34,15,23,16,15,17,16,18,22,21,29,27,19,9,38,20,18,17,21,9,23,24,14,18,16,44,13,20,11,26,39,14,14,20,24,28,24,24,10,42,28,5,28,24,9,9,25,17,11,8,21,10,15,14,23,18,16,33,21,29,20,12,29,17,19,15,5,24,23,22,25,25,11,18,14,16,17,20)
> par4 = 'Unknown'
> par3 = 'FALSE'
> par2 = 'grey'
> par1 = ''
> xlab = 'x'
> main = 'Histogram'
> par4 <- 'Unknown'
> par3 <- 'FALSE'
> par2 <- 'grey'
> par1 <- ''
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa P., (2012), Histogram (v1.0.12) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_histogram.wasp/
> #Source of accompanying publication: 
> #
> 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/wessaorg/rcomp/tmp/1b9fy1356001540.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if(is.numeric(x[1])) {
+ 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)
+ }
+ } else {
+ plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
+ }
> dev.off()
null device 
          1 
> if(is.numeric(x[1])) {
+ myhist
+ n <- length(x)
+ 
+ #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
+ load(file="/var/wessaorg/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$density[i],6))
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/2xzwe1356001540.tab") 
+ } else {
+ mytab
+ reltab <- mytab / sum(mytab)
+ n <- length(mytab)
+ 
+ #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
+ load(file="/var/wessaorg/rcomp/createtable")
+ 
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'Category',header=TRUE)
+ a<-table.element(a,'Abs. Frequency',header=TRUE)
+ a<-table.element(a,'Rel. Frequency',header=TRUE)
+ a<-table.row.end(a)
+ for (i in 1:n) {
+ a<-table.row.start(a)
+ a<-table.element(a,labels(mytab)$x[i],header=TRUE)
+ a<-table.element(a,mytab[i])
+ a<-table.element(a,round(reltab[i],4))
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/32oa51356001540.tab") 
+ }
> 
> try(system("convert tmp/1b9fy1356001540.ps tmp/1b9fy1356001540.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.808   0.161   0.959