R version 3.2.3 (2015-12-10) -- "Wooden Christmas-Tree"
Copyright (C) 2015 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(109.12,109.12,109.73,112.59,112.59,112.29,113.8,114.16,112.29,112.29,110.99,110.99,110.99,110.99,111.98,114.26,114.26,114.44,115.47,115.41,114.63,116.48,115.8,115.18,115.18,115.18,115.18,116.38,122.41,122.47,123.09,123.09,123.09,123.09,121.77,121.52,121.52,121.52,121.52,124.73,125.23,124.62,128.94,129.34,127.17,128.08,124.54,121.21,120.85,119.02,119.13,119.84,125.53,124.16,127.32,127.22,122.57,125.45,125.45,127.32,128.79,128.99,129.8,130.33,131.19,132.02,136.97,139.45,128.31,130.73,129.83,125.46,130.23,130.23,132.65,136.34,139.12,133.94,143.09,142.71,136.09,134.57,134.65,134.35)
> par4 = 'Unknown'
> par3 = 'FALSE'
> par2 = 'grey'
> par1 = '4'
> xlab = 'Omzetontwikkeling t.o.v. indexjaar 2009'
> main = 'Consumentenprijs entree attractieparken'
> par4 <- 'Unknown'
> par3 <- 'FALSE'
> par2 <- 'grey'
> par1 <- '4'
> #'GNU S' R Code compiled by R2WASP v. 1.2.327 (Wed, 26 Aug 2015 15:05:17 +0100)
> #Author: root
> #To cite this work: Wessa P., (2015), Histogram (v1.0.15) 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/13lc31456066992.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 {
+ barplot(mytab <- sort(table(x),T),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$density[i],6))
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/24hyn1456066992.tab") 
+ } else {
+ mytab
+ reltab <- mytab / sum(mytab)
+ n <- length(mytab)
+ 
+ #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
+ load(file="/var/wessaorg/rcomp/createtable")
+ 
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'Category',header=TRUE)
+ a<-table.element(a,'Abs. Frequency',header=TRUE)
+ a<-table.element(a,'Rel. Frequency',header=TRUE)
+ a<-table.row.end(a)
+ for (i in 1:n) {
+ a<-table.row.start(a)
+ a<-table.element(a,labels(mytab)$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/3hdv81456066992.tab") 
+ }
> 
> try(system("convert tmp/13lc31456066992.ps tmp/13lc31456066992.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.512   0.105   0.617