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(4.81,8.95,34,37.03,39.05,57.47,59.61,62.16,64.02,70.94,72.84,85.09,86.58,103.9,109.22,131.81,136.45,136.81,137.55,140.32,150.03,156.19,158.05,169.86,171.26,171.33,180.82,183.19,183.61,184.64,187.88,190.16,190.38,191.84,192.8,193.3,197.55,198.3,199.3,199.75,200.16,203.08,204.39,206.77,206.89,207.53,208.11,211.66,213.36,213.51,213.92,216.05,216.55,216.89,217.47,218.76,220.55,221.59,223.17,226.73,229.64,232.44,232.67,235.58,236.3,236.71,238.5,239.89,240.76,241.17,242.21,242.34,246.54,249.15,250.41,251.42,252.64,257.1,257.57,259.7,260.64,261.6,262.52,262.88,263.91,265.78,266.79,274.48,275.56,278.74,287.07,289.71,293.67,295.28,308.16,308.17,308.53,313.91,315.96,324.04,330.56,348.82,350.09,356.73,366.94,380.16,380.53,383.7,386.69,388.3,392.25,401.42,401.92,403.06,403.56,406.17,421.4,426.11,435.96,438.56,440.31,441.44,449.59,475.83,506.65,556.28,601.16,611.28,645.29,653.64,662.88,694.87,699.65,756.46)
> par4 = 'Unknown'
> par3 = 'FALSE'
> par2 = 'grey'
> par1 = '5'
> 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/html/rcomp/tmp/19ran1286217551.ps",horizontal=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/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$density[i],6))
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/www/html/rcomp/tmp/2gaph1286217551.tab") 
+ } else {
+ mytab
+ reltab <- mytab / sum(mytab)
+ n <- length(mytab)
+ 
+ #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
+ load(file="/var/www/html/rcomp/createtable")
+ 
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'Category',header=TRUE)
+ a<-table.element(a,'Abs. Frequency',header=TRUE)
+ a<-table.element(a,'Rel. Frequency',header=TRUE)
+ a<-table.row.end(a)
+ for (i in 1:n) {
+ a<-table.row.start(a)
+ a<-table.element(a,labels(mytab)$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/html/rcomp/tmp/3ckmq1286217551.tab") 
+ }
> try(system("convert tmp/19ran1286217551.ps tmp/19ran1286217551.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.378   0.153   0.447