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(297295,295008,296917,298982,300562,294292,272817,274405,278601,283654,290770,290604,277466,274371,277686,282917,286692,285378,262433,266730,271980,277799,282329,285775,283495,279998,287224,296369,300653,302686,277891,277537,285383,292213,298522,300431,297584,286445,288576,293299,295881,292710,271993,267430,273963,273046,268347,264319,255765,246263,245098,246969,248333,247934,226839,225554,237085,237080,245039,248541,247105,243422,250643,254663,260993,258556,235372,246057,253353,255198,264176,269034,265861,269826,278506,292300,290726,289802,271311,274352,275216,276836,280408,280190)
> 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/1yrur1389523179.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/28jyq1389523179.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/39oed1389523179.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  0.90053250  0.77743642  0.69648885  0.66139152  0.66106330
 [7]  0.63594759  0.55029131  0.43352158  0.34763134  0.31253769  0.32347589
[13]  0.31831620  0.19484386  0.06416541 -0.01703102 -0.05820761 -0.06308340
[19] -0.08835080 -0.14582105 -0.22468270 -0.26721693 -0.25604006 -0.19929089
[25] -0.15713906 -0.20766635 -0.26133697 -0.27504714 -0.25381783 -0.20127730
[31] -0.17155358 -0.16369622 -0.17420000 -0.16562355 -0.12446222 -0.06406399
[37] -0.02617734 -0.06736015 -0.10884758 -0.12199986 -0.11732576 -0.09740743
[43] -0.09986398 -0.12514397 -0.15966543 -0.17696376 -0.16498484 -0.13542927
[49] -0.11634865
> (mypacf <- c(rpacf$acf))
 [1]  0.900532499 -0.177328341  0.174351829  0.146381258  0.163515762
 [6] -0.104077886 -0.229611470 -0.161193824  0.030742313  0.057324497
[11]  0.152751725 -0.033271270 -0.528703741  0.081785114  0.069080257
[16] -0.077596344 -0.017855483 -0.069908713  0.150211937 -0.019823586
[21]  0.051138383  0.040672937  0.091603527  0.023246292 -0.151803750
[26]  0.021907782 -0.019578773  0.018673833 -0.001326665 -0.045878656
[31]  0.127040739  0.049718846 -0.030346523 -0.112867584 -0.095864074
[36] -0.017356878 -0.104186407 -0.038758957 -0.051608820 -0.036910661
[41] -0.013291633  0.002537324 -0.067632827  0.035433494  0.005301326
[46] -0.005234143  0.016561257  0.061211201
> 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/404tu1389523179.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/5kl1s1389523179.tab") 
> 
> try(system("convert tmp/1yrur1389523179.ps tmp/1yrur1389523179.png",intern=TRUE))
character(0)
> try(system("convert tmp/28jyq1389523179.ps tmp/28jyq1389523179.png",intern=TRUE))
character(0)
> try(system("convert tmp/39oed1389523179.ps tmp/39oed1389523179.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.561   0.916   4.428