R version 3.2.2 (2015-08-14) -- "Fire Safety"
Copyright (C) 2015 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(98.91,98.15,98.59,98.6,98.7,98.33,98.33,98.6,98.52,99.17,99.49,98.83,98.83,97.39,99.28,98.78,98.75,98.47,98.47,97.82,97.79,97.96,98.21,98.34,98.34,98.49,98.14,98.05,97.77,97.59,97.59,97.67,97.67,97.36,97.31,97.24,97.24,96.89,96.48,96.47,97.13,97.21,97.43,97.98,97.97,98.2,98.67,98.75,98.77,98.72,99.23,99.67,99.76,99.57,99.57,100.21,100.62,101.05,101.42,101.42,101.52,101.87,101.53,101.77,101.76,102.04,102.05,101.9,102.17,102.14,102.09,102.27)
> par8 = ''
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '0'
> par3 = '0'
> par2 = '1'
> par1 = '48'
> 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. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa P., (2012), (Partial) Autocorrelation Function (v1.0.11) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_autocorrelation.wasp/
> #Source of accompanying publication: 
> #
> 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/1b9qr1445605220.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/2trpp1445605220.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/342pg1445605220.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  0.94021554  0.89813246  0.84466063  0.79895097  0.75179996
 [7]  0.69646648  0.63801528  0.57637478  0.50928868  0.45111303  0.38150384
[13]  0.31508504  0.24399218  0.17734877  0.11596978  0.05564347 -0.00127556
[19] -0.04450974 -0.09300775 -0.14092845 -0.18864988 -0.22796770 -0.25821054
[25] -0.28476544 -0.30427532 -0.32617595 -0.34487876 -0.35295393 -0.36003452
[31] -0.35707114 -0.34420775 -0.32855551 -0.30242939 -0.27692038 -0.26057614
[37] -0.24464048 -0.23512819 -0.22814888 -0.21937457 -0.20775473 -0.19373816
[43] -0.18469433 -0.17197049 -0.16465509 -0.15932680 -0.14947567 -0.14468709
[49] -0.14151872
> (mypacf <- c(rpacf$acf))
 [1]  0.940215545  0.121791622 -0.100130744  0.015140865 -0.016411937
 [6] -0.108270815 -0.078004597 -0.062343892 -0.099425375  0.020299415
[11] -0.114308570 -0.058407981 -0.065834580 -0.028355086 -0.001330541
[16] -0.028498801 -0.021801007  0.086760253 -0.052146455 -0.087269291
[21] -0.035163182  0.005947969  0.029298557 -0.004989484  0.012656165
[26] -0.050843485 -0.023093436  0.034692117 -0.021527436  0.029462259
[31]  0.104031351  0.028959463  0.058181146  0.013215241 -0.123403693
[36] -0.066418016 -0.088710284 -0.111120256 -0.015566202  0.015017844
[41] -0.004406016 -0.035951318  0.001800401 -0.037758289 -0.010442512
[46]  0.046197156 -0.008448951 -0.022434184
> 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/4ibzz1445605220.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/5beos1445605220.tab") 
> 
> try(system("convert tmp/1b9qr1445605220.ps tmp/1b9qr1445605220.png",intern=TRUE))
character(0)
> try(system("convert tmp/2trpp1445605220.ps tmp/2trpp1445605220.png",intern=TRUE))
character(0)
> try(system("convert tmp/342pg1445605220.ps tmp/342pg1445605220.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.225   0.242   1.472