R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(7263.63
+ ,7135.88
+ ,7008.00
+ ,6752.38
+ ,9339.00
+ ,9211.13
+ ,7263.63
+ ,5970.38
+ ,6098.13
+ ,6098.13
+ ,6226.00
+ ,6495.50
+ ,5714.75
+ ,4932.75
+ ,4292.38
+ ,4292.38
+ ,6752.38
+ ,7008.00
+ ,5060.50
+ ,2857.38
+ ,4022.88
+ ,4022.88
+ ,4932.75
+ ,5457.88
+ ,5330.00
+ ,4022.88
+ ,4677.13
+ ,4420.25
+ ,6623.38
+ ,6098.13
+ ,4022.88
+ ,2472.75
+ ,3895.00
+ ,4292.38
+ ,4677.13
+ ,5188.38
+ ,4150.63
+ ,3254.75
+ ,3639.50
+ ,3767.25
+ ,7135.88
+ ,7135.88
+ ,5188.38
+ ,4932.75
+ ,5714.75
+ ,5330.00
+ ,6367.75
+ ,7661.00
+ ,7917.88
+ ,6098.13
+ ,5585.63
+ ,5060.50
+ ,8570.88
+ ,8827.75
+ ,8173.50
+ ,8827.75
+ ,8698.63
+ ,7661.00
+ ,8827.75
+ ,10121.00
+ ,10646.13
+ ,9083.38
+ ,8045.63
+ ,8827.75
+ ,12196.25
+ ,13234.00
+ ,12978.38
+ ,13489.50
+ ,13361.75
+ ,12068.50
+ ,14271.63
+ ,14796.75
+ ,15564.88
+ ,13234.00
+ ,12324.13
+ ,13361.75
+ ,15834.38
+ ,18037.50
+ ,17512.38
+ ,17512.38
+ ,17769.25
+ ,16872.00
+ ,19204.25
+ ,19204.25
+ ,18806.88
+ ,16602.50
+ ,16999.88
+ ,17256.75
+ ,18947.38
+ ,21150.50
+ ,19587.63
+ ,20369.75
+ ,19715.50
+ ,19332.00
+ ,22317.25
+ ,21663.00
+ ,20753.13
+ ,19459.88
+ ,20753.13
+ ,21407.38
+ ,22188.13
+ ,23225.75
+ ,22188.13
+ ,22828.50
+ ,22047.63
+ ,21919.88
+ ,25160.63
+ ,25430.13
+ ,24392.50
+ ,22572.88
+ ,24123.00
+ ,24776.00
+ ,25558.00
+ ,26723.50
+ ,25558.00
+ ,26467.88
+ ,26070.50
+ ,24648.13
+ ,27633.25
+ ,27633.25)
> par4 = 'Unknown'
> par3 = 'FALSE'
> par2 = 'grey'
> par1 = '10'
> xlab = 'x'
> main = 'Histogram'
> par4 <- 'Unknown'
> par3 <- 'FALSE'
> par2 <- 'grey'
> par1 <- '10'
> #'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/11xpi1470729045.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$density[i],6))
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/2n7io1470729045.tab") 
+ } else {
+ mytab
+ reltab <- mytab / sum(mytab)
+ n <- length(mytab)
+ 
+ #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
+ load(file="/var/wessaorg/rcomp/createtable")
+ 
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'Category',header=TRUE)
+ a<-table.element(a,'Abs. Frequency',header=TRUE)
+ a<-table.element(a,'Rel. Frequency',header=TRUE)
+ a<-table.row.end(a)
+ for (i in 1:n) {
+ a<-table.row.start(a)
+ a<-table.element(a,labels(mytab)$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/3xvzk1470729045.tab") 
+ }
> 
> try(system("convert tmp/11xpi1470729045.ps tmp/11xpi1470729045.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.602   0.042   0.647