R version 2.10.1 (2009-12-14)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(5.81,5.76,5.99,6.12,6.03,6.25,5.80,5.67,5.89,5.91,5.86,6.07,6.27,6.68,6.77,6.71,6.62,6.50,5.89,6.05,6.43,6.47,6.62,6.77,6.70,6.95,6.73,7.07,7.28,7.32,6.76,6.93,6.99,7.16,7.28,7.08,7.34,7.87,6.28,6.30,6.36,6.28,5.89,6.04,5.96,6.10,6.26,6.02,6.25,6.41,6.22,6.57,6.18,6.26,6.10,6.02,6.06,6.35,6.21,6.48,6.74,6.53,6.80,6.75,6.56,6.66,6.18,6.40,6.43,6.54,6.44,6.64,6.82,6.97,7.00,6.91,6.74,6.98,6.37,6.56,6.63,6.87,6.68,6.75,6.84,7.15,7.09,6.97,7.15)
> par8 = ''
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '0'
> par3 = '0'
> par2 = '1'
> par1 = '48'
> #'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/yougetitorg/rcomp/tmp/156hs1304348785.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/yougetitorg/rcomp/tmp/21fdb1304348785.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/yougetitorg/rcomp/tmp/33m8z1304348785.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]  1.000000000  0.764762231  0.634472528  0.534736132  0.409245251
 [6]  0.292186765  0.240023898  0.175550585  0.204212646  0.164965731
[11]  0.092071646  0.092368595  0.099778180 -0.033662121 -0.051189477
[16] -0.171048233 -0.226185451 -0.270700635 -0.344037638 -0.369464114
[21] -0.303005436 -0.321224388 -0.294297032 -0.234133052 -0.250016192
[26] -0.299612233 -0.297371892 -0.377235197 -0.322662366 -0.346444757
[31] -0.333412700 -0.260090196 -0.192796244 -0.176818925 -0.077279318
[36] -0.003436606  0.058095596  0.118379286  0.157802134  0.127861040
[41]  0.161184023  0.096121028  0.097709434  0.109660888  0.145165696
[46]  0.168083145  0.206100999  0.233107351  0.277078569
> (mypacf <- c(rpacf$acf))
 [1]  0.764762231  0.119505253  0.039365653 -0.091595609 -0.076534612
 [6]  0.067016606 -0.021109590  0.193309640 -0.093264254 -0.137384966
[11]  0.071753663  0.063163279 -0.274772667  0.066885435 -0.278567972
[16]  0.032225149 -0.057118751 -0.127513447  0.027682555  0.028953619
[21] -0.040317682  0.030351726  0.031678454 -0.132322366 -0.135612311
[26] -0.034315433 -0.076915570  0.087163499 -0.138839735  0.048091382
[31]  0.001812501 -0.018584940  0.011761799  0.044717081  0.075681953
[36]  0.051431031  0.027522552  0.086185020 -0.128948011 -0.056699874
[41] -0.016190393 -0.062050521 -0.006595109  0.058374046 -0.033631417
[46] -0.037250518  0.111528857  0.026830150
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 
> #Note: the /var/yougetitorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/yougetitorg/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/yougetitorg/rcomp/tmp/4ln441304348785.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/yougetitorg/rcomp/tmp/51m1t1304348785.tab") 
> 
> try(system("convert tmp/156hs1304348785.ps tmp/156hs1304348785.png",intern=TRUE))
character(0)
> try(system("convert tmp/21fdb1304348785.ps tmp/21fdb1304348785.png",intern=TRUE))
character(0)
> try(system("convert tmp/33m8z1304348785.ps tmp/33m8z1304348785.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.950   0.560   1.202