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(426.113,383.703,232.444,70.939,226.731,611.281,158.047,33.999,37.028,388.3,506.652,392.25,180.818,198.296,217.465,275.562,57.47,136.452,556.277,213.361,274.482,220.553,236.71,260.642,213.923,169.861,403.064,449.594,406.167,206.893,156.187,257.102,62.156,251.422,171.328,350.089,221.588,4.813,183.186,190.379,223.166,232.669,356.725,109.215,475.834,315.955,8.95,278.741,308.16,207.533,192.797,601.162,289.714,293.671,386.688,85.094,131.812,197.549,308.174,86.58,242.205,238.502,187.881,140.321,440.31,421.403,218.761,137.55,262.517,348.821,150.034,64.016,261.596,259.7,171.26,203.077,249.148,211.655,252.64,438.555,239.89,401.915,216.886,184.641,380.155,313.906,366.936,236.302,229.641,235.577,103.898,263.906,241.171,216.548,295.281,193.299,204.386,257.567,136.813,240.755,59.609,213.511,380.531,242.344,250.407,183.613,191.835,266.793,246.542,330.563,403.556,208.108,324.04,308.532,199.297,200.156,262.875,287.069,190.157,199.746,265.777,435.956,72.844,206.771,401.422,216.046,39.047,441.437)
> 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/html/rcomp/tmp/10ap51285928723.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$density[i],6))
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/www/html/rcomp/tmp/2ack51285928723.tab") 
+ } else {
+ mytab
+ reltab <- mytab / sum(mytab)
+ n <- length(mytab)
+ 
+ #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
+ load(file="/var/www/html/rcomp/createtable")
+ 
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'Category',header=TRUE)
+ a<-table.element(a,'Abs. Frequency',header=TRUE)
+ a<-table.element(a,'Rel. Frequency',header=TRUE)
+ a<-table.row.end(a)
+ for (i in 1:n) {
+ a<-table.row.start(a)
+ a<-table.element(a,labels(mytab)$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/3vujb1285928723.tab") 
+ }
> try(system("convert tmp/10ap51285928723.ps tmp/10ap51285928723.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.373   0.156   0.464