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(12.610,10.862,52.929,56.902,81.776,87.876,82.103,72.846,60.632,33.521,15.342,7.758,8.668,13.082,38.157,58.263,81.153,88.476,72.329,75.845,61.108,37.665,12.755,2.793,12.935,19.533,33.404,52.074,70.735,69.702,61.656,82.993,53.990,32.283,15.686,2.713,12.842,19.244,48.488,54.464,84.192,84.458,85.793,75.163,68.212,49.233,24.302,5.402,15.058,33.559,70.358,85.934,94.452,129.305,113.882,107.256,94.274,57.842,26.611,14.521)
> par2 = '36'
> par1 = '0'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), 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: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> par1 <- as.numeric(par1)
> par2 <- as.numeric(par2)
> x <- as.ts(x)
> library(lattice)
> postscript(file="/var/www/html/rcomp/tmp/1azth1260481632.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(x,type='l',main='Run Sequence Plot',xlab='time or index',ylab='value')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2daf11260481632.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(x)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/372cc1260481632.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~x,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~x,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/41cmo1260481632.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> qqnorm(x)
> qqline(x)
> grid()
> dev.off()
null device 
          1 
> if (par2 > 0)
+ {
+ postscript(file="/var/www/html/rcomp/tmp/50mry1260481632.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
+ dum <- cbind(lag(x,k=1),x)
+ dum
+ dum1 <- dum[2:length(x),]
+ dum1
+ z <- as.data.frame(dum1)
+ z
+ plot(z,main='Lag plot (k=1), lowess, and regression line')
+ lines(lowess(z))
+ abline(lm(z))
+ dev.off()
+ if (par2 > 1) {
+ postscript(file="/var/www/html/rcomp/tmp/6f6g11260481632.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
+ dum <- cbind(lag(x,k=par2),x)
+ dum
+ dum1 <- dum[(par2+1):length(x),]
+ dum1
+ z <- as.data.frame(dum1)
+ z
+ mylagtitle <- 'Lag plot (k='
+ mylagtitle <- paste(mylagtitle,par2,sep='')
+ mylagtitle <- paste(mylagtitle,'), and lowess',sep='')
+ plot(z,main=mylagtitle)
+ lines(lowess(z))
+ dev.off()
+ }
+ postscript(file="/var/www/html/rcomp/tmp/7ns0v1260481632.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
+ acf(x,lag.max=par2,main='Autocorrelation Function')
+ grid()
+ dev.off()
+ }
null device 
          1 
> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
  2.713  18.350  54.230  51.470  77.170 129.300 
> 
> #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,'Descriptive Statistics',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'# observations',header=TRUE)
> a<-table.element(a,length(x))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'minimum',header=TRUE)
> a<-table.element(a,min(x))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Q1',header=TRUE)
> a<-table.element(a,quantile(x,0.25))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'median',header=TRUE)
> a<-table.element(a,median(x))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'mean',header=TRUE)
> a<-table.element(a,mean(x))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Q3',header=TRUE)
> a<-table.element(a,quantile(x,0.75))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'maximum',header=TRUE)
> a<-table.element(a,max(x))
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/8g9mo1260481632.tab") 
> 
> system("convert tmp/1azth1260481632.ps tmp/1azth1260481632.png")
> system("convert tmp/2daf11260481632.ps tmp/2daf11260481632.png")
> system("convert tmp/372cc1260481632.ps tmp/372cc1260481632.png")
> system("convert tmp/41cmo1260481632.ps tmp/41cmo1260481632.png")
> system("convert tmp/50mry1260481632.ps tmp/50mry1260481632.png")
> system("convert tmp/6f6g11260481632.ps tmp/6f6g11260481632.png")
> system("convert tmp/7ns0v1260481632.ps tmp/7ns0v1260481632.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.445   1.001   1.810