R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(102.43,102.43,102.43,102.43,104.2,104.2,104.2,104.2,104.2,104.2,104.2,104.2,104.2,104.2,104.2,104.2,108.1,109.2,109.2,109.2,109.2,109.2,109.2,109.2,109.2,109.2,109.2,109.2,112.1,112.1,112.1,112.1,112.1,112.1,112.1,112.1,112.1,112.1,112.1,112.1,114.81,114.81,114.81,114.81,114.81,114.81,114.81,114.81,114.81,114.81,114.81,114.81,115.57,115.57,115.57,115.57,115.57,115.57,115.57,115.57,115.57,115.57,115.57,117.3,117.3,118.39,118.39,118.39,118.39,118.39,118.39,118.39,118.39,118.39,118.39,121.18,123.21,123.21,123.21,123.21,123.21,123.21,123.21,123.21)
> par8 = ''
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '0'
> par3 = '1'
> par2 = '1'
> par1 = '48'
> par8 <- ''
> par7 <- '0.95'
> par6 <- 'White Noise'
> par5 <- '12'
> par4 <- '0'
> par3 <- '1'
> 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/1pgpd1384783152.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/2faol1384783152.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/37myc1384783152.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  0.100250157 -0.073600881 -0.115261357 -0.107126346
 [6] -0.108466594 -0.109806843 -0.111147091 -0.101620234 -0.088024905
[11] -0.024340046  0.052928861  0.612672045  0.041049785 -0.094726147
[16] -0.096066395 -0.076528954 -0.071980623 -0.073320871 -0.068826073
[21] -0.070166322 -0.062245441 -0.063585689  0.144398415  0.349590017
[26] -0.004445847 -0.068946683 -0.070286931 -0.056102744 -0.057442992
[31] -0.058783240 -0.060123489 -0.057395264 -0.058735512 -0.060075761
[36]  0.225401354  0.220813164  0.003492315 -0.065436754 -0.066777002
[41] -0.053609933 -0.054950182 -0.056290430 -0.057630678 -0.044463609
[46] -0.045803857 -0.006453968  0.268783259  0.130452166
> (mypacf <- c(rpacf$acf))
 [1]  0.100250157 -0.084500210 -0.100508784 -0.093440238 -0.109231269
 [6] -0.123259807 -0.141273100 -0.153791451 -0.170614476 -0.137807940
[11] -0.090185177  0.550053084 -0.138291251 -0.051237979 -0.022736497
[16] -0.026981351 -0.019960125 -0.016099000 -0.002705746 -0.025226640
[21] -0.034405724 -0.141315882  0.191434525 -0.141653363 -0.026245814
[26]  0.016973603 -0.040625499 -0.034639306 -0.047596377 -0.037633781
[31] -0.062993736 -0.033305345 -0.125606092  0.035785112  0.026994166
[36] -0.051989924  0.041088210 -0.083236138 -0.043549917 -0.049665652
[41] -0.044091538 -0.063520665 -0.033614606 -0.084704895 -0.032040208
[46]  0.007800754 -0.012689979 -0.038597343
> 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/4t6o91384783152.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/5dd2z1384783152.tab") 
> 
> try(system("convert tmp/1pgpd1384783152.ps tmp/1pgpd1384783152.png",intern=TRUE))
character(0)
> try(system("convert tmp/2faol1384783152.ps tmp/2faol1384783152.png",intern=TRUE))
character(0)
> try(system("convert tmp/37myc1384783152.ps tmp/37myc1384783152.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.291   0.530   2.790