R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(98.01,99.2,100.7,106.41,107.51,107.1,99.75,98.96,107.26,107.11,107.2,107.65,104.78,105.56,107.95,107.11,107.47,107.06,99.71,99.6,107.19,107.26,113.24,113.52,110.48,111.41,115.5,118.32,118.42,117.5,110.23,109.19,118.41,118.3,116.1,114.11,113.41,114.33,116.61,123.64,123.77,123.39,116.03,114.95,123.4,123.53,114.45,114.26,114.35,112.77,115.31,114.93,116.38,115.07,105,103.43,114.52,115.04,117.16,115)
> 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/wessaorg/rcomp/tmp/1j5xh1332756362.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/wessaorg/rcomp/tmp/2a3oe1332756362.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/wessaorg/rcomp/tmp/3tr531332756362.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]  1.00000000  0.77356648  0.52483035  0.44787940  0.46758433  0.55769439
 [7]  0.58721872  0.45517226  0.30840085  0.23539531  0.21094246  0.32788766
[13]  0.42033384  0.28110390  0.11582852  0.07432833  0.10682624  0.18147980
[19]  0.18594729  0.04935779 -0.14393494 -0.23356041 -0.26033861 -0.19163720
[25] -0.13085095 -0.23734221 -0.36563975 -0.36648379 -0.29495963 -0.21503684
[31] -0.16971619 -0.23559748 -0.33814561 -0.32651342 -0.27741047 -0.21158503
[37] -0.16170178 -0.24811921 -0.34069374 -0.33523940 -0.27236531 -0.20621234
[43] -0.15262063 -0.17500489 -0.19274751 -0.15056891 -0.10094824 -0.05419424
[49] -0.01529742
> (mypacf <- c(rpacf$acf))
 [1]  0.773566478 -0.183206382  0.281437788  0.134839749  0.315119593
 [6]  0.034994656 -0.181520027 -0.051301279 -0.089930900 -0.094228916
[11]  0.313334148  0.059463776 -0.266013464 -0.007026404  0.058270118
[16] -0.026212642 -0.048979448 -0.064185340 -0.110077986 -0.351194116
[21] -0.008928130 -0.155282368 -0.019164444  0.026215339 -0.016247288
[26]  0.062678082  0.121867341  0.072117309 -0.003228296 -0.008232391
[31]  0.013186200 -0.083859221  0.095782711 -0.012690262 -0.027096548
[36]  0.031487617 -0.002906788  0.064226511 -0.063991571 -0.018975589
[41] -0.038642810 -0.087152251  0.022843592  0.099547342 -0.124524066
[46] -0.025820552 -0.084823525  0.015442433
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/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/wessaorg/rcomp/tmp/4ui3x1332756362.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/wessaorg/rcomp/tmp/5amzm1332756362.tab") 
> 
> try(system("convert tmp/1j5xh1332756362.ps tmp/1j5xh1332756362.png",intern=TRUE))
character(0)
> try(system("convert tmp/2a3oe1332756362.ps tmp/2a3oe1332756362.png",intern=TRUE))
character(0)
> try(system("convert tmp/3tr531332756362.ps tmp/3tr531332756362.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.014   0.242   1.253