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(8.3,8.2,8.1,8,8.1,8.1,8,7.8,7.7,7.7,7.7,7.6,7.5,7.3,7.2,7.1,7.2,7.2,7.2,6.9,6.8,6.8,6.8,6.9,7,7.2,7.2,7.2,7,7,7.2,7.4,7.8,8,7.8,7.8,7.9,7.9,8,8,8,8,8.2,8.4,8.6,8.6,8.5,8.5,8.4,8.4,8.4,8.5,8.6,8.6,8.6,8.6,8.6,8.5,8.4,8.4,8.3,8.3,8.3,8.6,8.8,8.8,8.5,8.1,7.9,8,8.4,8.5,8.5,8.4,8.3,8.3,8.2,8.1,8.1,8.2,8.2,8.2,8.1,8.1,8,7.8,7.7,7.7,7.7,7.7,7.7,7.5,7.4,7.3,7.4,7.4,7.3,7.3,7.1,7,6.5,6.3,6.3,6.5,6.6,6.5,6.3,6.3,6.3,6.5,6.7,6.7,6.7,6.8,6.7,6.8,6.8,7,7,7.2,7.4,7.6,7.8,7.9,8.1,8.3,8.5,8.7,8.8,8.9,9,9,9.1,9.1,9.1,9.2,9.4,9.4,9.3,9.4,9.4,9.5,9.5,9.4,9.4,9.4,9.3,9.3,9.3,9.3,9.3,9.2,9.1,9.1,9.1,9.1,9.2,9.2,9.2,9.3,9.4,9.4,9.5,9.6,9.7,9.7,9.8,9.9,9.9,9.9,9.8,9.8,9.7,9.7,9.6,9.6,9.6,9.6,9.6,9.7,9.7,9.7,9.7,9.8,9.8,9.8,9.8,9.9,9.9,9.8,9.7,9.6,9.6,9.5,9.3,9.2,9,8.9,8.7,8.5,8.4,8.2,8.1,7.9,7.8,7.6,7.5,7.4,7.2,7.2,7.1,7,7,6.9,6.8,6.7,6.7,6.6,6.6,6.5,6.5,6.4,6.4,6.4,6.4,6.3,6.4,6.4,6.4,6.4,6.4,6.4,6.4,6.5,6.5,6.6,6.6,6.6,6.7,6.7,6.8)
> par8 = ''
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '0'
> par3 = '0'
> par2 = '1'
> par1 = 'Default'
> #'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: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par8 != '') par8 <- as.numeric(par8)
> ox <- x
> if (par8 == '') {
+ if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
+ } else {
+ x <- log(x,base=par8)
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1n9eo1293458209.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow=c(2,1))
> plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
> if (par8=='') {
+ mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
+ mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
+ } else {
+ mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
+ mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
+ }
> plot(x,type='l', main=mytitle,xlab='time',ylab='value')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2f0d91293458209.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/3f0d91293458209.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1] 1.0000000 0.9910470 0.9756159 0.9572221 0.9383634 0.9187004 0.8963764
 [8] 0.8697859 0.8391364 0.8047734 0.7675075 0.7286519 0.6886307 0.6475476
[15] 0.6062416 0.5640119 0.5206607 0.4772560 0.4336440 0.3897209 0.3455152
[22] 0.3010330 0.2571384 0.2149967
> (mypacf <- c(rpacf$acf))
 [1]  0.991047027 -0.367913062 -0.049841033  0.042859982 -0.062557275
 [6] -0.156264511 -0.175314711 -0.109103848 -0.123704681 -0.103017971
[11] -0.031490152 -0.033608306 -0.025237006  0.051029074 -0.023607209
[16] -0.022195457  0.056201980 -0.016557169 -0.043296045 -0.037132446
[21] -0.037636961  0.003017108  0.042272187
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 
> #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,'Autocorrelation Function',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Time lag k',header=TRUE)
> a<-table.element(a,hyperlink('http://www.xycoon.com/basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
> a<-table.element(a,'T-STAT',header=TRUE)
> a<-table.element(a,'P-value',header=TRUE)
> a<-table.row.end(a)
> for (i in 2:(par1+1)) {
+ a<-table.row.start(a)
+ a<-table.element(a,i-1,header=TRUE)
+ a<-table.element(a,round(myacf[i],6))
+ mytstat <- myacf[i]*sqrtn
+ a<-table.element(a,round(mytstat,4))
+ a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/4j1uf1293458209.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Time lag k',header=TRUE)
> a<-table.element(a,hyperlink('http://www.xycoon.com/basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
> a<-table.element(a,'T-STAT',header=TRUE)
> a<-table.element(a,'P-value',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:par1) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,round(mypacf[i],6))
+ mytstat <- mypacf[i]*sqrtn
+ a<-table.element(a,round(mytstat,4))
+ a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5m1sk1293458209.tab") 
> 
> try(system("convert tmp/1n9eo1293458209.ps tmp/1n9eo1293458209.png",intern=TRUE))
character(0)
> try(system("convert tmp/2f0d91293458209.ps tmp/2f0d91293458209.png",intern=TRUE))
character(0)
> try(system("convert tmp/3f0d91293458209.ps tmp/3f0d91293458209.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.691   0.495   1.645