R version 2.12.0 (2010-10-15)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(193.230,199.068,195.076,191.563,191.067,186.665,185.508,184.371,183.046,175.714,175.768,171.029,170.465,170.102,156.389,124.291,99.360,86.675,85.056,128.236,164.257,162.401,152.779,156.005,153.387,153.190,148.840,144.211,145.953,145.542,150.271,147.489,143.824,134.754,131.736,126.304,125.511,125.495,130.133,126.257,110.323,98.417,105.749,120.665,124.075,127.245,146.731,144.979,148.210,144.670,142.970,142.524,146.142,146.522,148.128,148.798,150.181,152.388,155.694,160.662,155.520,158.262,154.338,158.196,160.371,154.856,150.636,145.899,141.242,140.834,141.119,139.104,134.437,129.425,123.155,119.273,120.472,121.523,121.983,123.658,124.794,124.827,120.382,117.395,115.790,114.283,117.271,117.448,118.764,120.550,123.554,125.412,124.182,119.828,115.361,114.226,115.214,115.864,114.276,113.469)
> par4 = 'Unknown'
> par3 = 'FALSE'
> par2 = 'grey'
> par1 = ''
> xlab = 'x'
> main = 'Histogram'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Dr. Ian E. Holliday
> #To cite this work: Ian E. Holliday, 2009, 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: 
> #Technical description: 
> 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/rcomp/tmp/188531297690038.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/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
+ load(file="/var/www/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$density[i],6))
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/www/rcomp/tmp/2rowc1297690038.tab") 
+ } else {
+ mytab
+ reltab <- mytab / sum(mytab)
+ n <- length(mytab)
+ 
+ #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
+ load(file="/var/www/rcomp/createtable")
+ 
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'Category',header=TRUE)
+ a<-table.element(a,'Abs. Frequency',header=TRUE)
+ a<-table.element(a,'Rel. Frequency',header=TRUE)
+ a<-table.row.end(a)
+ for (i in 1:n) {
+ a<-table.row.start(a)
+ a<-table.element(a,labels(mytab)$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/www/rcomp/tmp/3vwr21297690038.tab") 
+ }
> 
> try(system("convert tmp/188531297690038.ps tmp/188531297690038.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.380   0.250   0.639