R version 3.0.3 (2014-03-06) -- "Warm Puppy"
Copyright (C) 2014 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(329.6
+ ,327.2
+ ,326.3
+ ,315.4
+ ,308.6
+ ,302.6
+ ,295.6
+ ,291.5
+ ,288.1
+ ,281.1
+ ,282.4
+ ,284.9
+ ,274.2
+ ,265.7
+ ,259.7
+ ,253.7
+ ,249.5
+ ,244.6
+ ,243
+ ,239.2
+ ,235.7
+ ,231.1
+ ,226.7
+ ,221.7
+ ,219.4
+ ,214.2
+ ,211.7
+ ,207.7
+ ,204.7
+ ,201.2
+ ,199.9
+ ,197.8
+ ,195.2
+ ,194.3
+ ,192.8
+ ,188.5
+ ,183.2
+ ,181.4
+ ,180.5
+ ,180.2
+ ,179.2
+ ,177.1
+ ,174.2
+ ,172.1
+ ,171.1
+ ,169.8
+ ,169.5
+ ,165.5
+ ,167.2
+ ,167.6
+ ,171.8
+ ,175.9
+ ,180
+ ,184.9
+ ,184.6
+ ,187.6
+ ,191.5
+ ,195.5
+ ,201.6
+ ,203.5
+ ,209.1
+ ,217.1
+ ,227.6
+ ,237.2
+ ,245.6
+ ,253.2
+ ,260.5
+ ,266.1
+ ,273
+ ,280.8
+ ,284.4
+ ,288.5
+ ,284.8
+ ,288.9
+ ,299.6
+ ,307.8
+ ,311.4
+ ,322
+ ,317.8
+ ,319.1
+ ,322.3
+ ,323.1
+ ,322.8
+ ,325
+ ,323.2
+ ,318.8
+ ,328.2
+ ,329.2
+ ,326.5
+ ,330.1
+ ,323.8
+ ,321.8
+ ,319.6
+ ,315.5
+ ,310.7
+ ,306.5
+ ,295.1
+ ,288
+ ,293.9
+ ,289.3
+ ,287.4
+ ,282.6
+ ,276.9
+ ,272.7
+ ,267.9
+ ,262.8
+ ,256.6
+ ,250.7
+ ,243.2
+ ,235.1
+ ,229.6
+ ,222.9
+ ,217.6
+ ,214.1
+ ,210.8
+ ,208
+ ,202.6
+ ,199
+ ,195.5
+ ,192.1
+ ,189.4
+ ,182.4
+ ,179.2
+ ,176.5
+ ,174
+ ,171.7
+ ,169.8
+ ,168.3
+ ,166.4
+ ,165.9
+ ,166.4
+ ,170.6
+ ,177.6
+ ,183.4
+ ,191.9
+ ,201.7
+ ,210.6
+ ,221.6
+ ,232.2
+ ,240.4
+ ,248.4
+ ,258.5
+ ,265
+ ,271.7
+ ,273.9
+ ,277.8
+ ,273.4
+ ,270.9
+ ,268.3
+ ,264.7
+ ,264.1
+ ,264.5
+ ,262.2
+ ,258.6
+ ,259.4
+ ,262.7
+ ,264.9
+ ,260.5
+ ,256.4
+ ,254.7
+ ,254.8
+ ,255.3
+ ,256.8
+ ,258.7
+ ,259.8
+ ,261.7
+ ,264.7
+ ,269.1
+ ,279
+ ,283.4
+ ,285.5
+ ,288.2
+ ,292.1
+ ,295.6
+ ,302.4
+ ,308.5
+ ,314.1
+ ,319.8
+ ,329.7
+ ,339.7)
> 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/1ercz1394716653.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/25c311394716653.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/38pkg1394716653.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  0.97873896  0.95236819  0.92134150  0.88663065  0.84846388
 [7]  0.80698273  0.76241878  0.71465268  0.66437177  0.61170704  0.55600937
[13]  0.49757949  0.43955186  0.38164511  0.32388589  0.26646283  0.20941314
[19]  0.15315754  0.09695582  0.04164610 -0.01241970 -0.06540046 -0.11754278
[25] -0.16912922 -0.21954096 -0.26736760 -0.31303713 -0.35707800 -0.39930933
[31] -0.43918934 -0.47707539 -0.51363284 -0.54816845 -0.58115275 -0.61291195
[37] -0.64117829 -0.66648451 -0.68845898 -0.70696818 -0.72094973 -0.73085519
[43] -0.73619576 -0.73629278 -0.73117735 -0.72091231 -0.70532228 -0.68463989
[49] -0.65875450
> (mypacf <- c(rpacf$acf))
 [1]  0.9787389610 -0.1322024031 -0.1116541855 -0.0829156921 -0.0773989822
 [6] -0.0748685406 -0.0703532676 -0.0755344495 -0.0602516335 -0.0611255716
[11] -0.0821695990 -0.0771573632 -0.0007132896 -0.0193343511 -0.0272363511
[16] -0.0273465753 -0.0316028121 -0.0256832651 -0.0505399886 -0.0339220963
[21] -0.0282974185 -0.0376340026 -0.0514712544 -0.0640879274 -0.0473696213
[26] -0.0131695979 -0.0304836253 -0.0480246166 -0.0437356178 -0.0306703649
[31] -0.0467893133 -0.0669300565 -0.0489142932 -0.0631319729 -0.0768473805
[36] -0.0246455682 -0.0439091127 -0.0328853834 -0.0296045548 -0.0049568522
[41] -0.0176526210 -0.0011125000  0.0168456524  0.0141552759  0.0172466149
[46]  0.0241960183  0.0180009128  0.0295314806
> 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/4lv9f1394716653.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/56ru51394716653.tab") 
> 
> try(system("convert tmp/1ercz1394716653.ps tmp/1ercz1394716653.png",intern=TRUE))
character(0)
> try(system("convert tmp/25c311394716653.ps tmp/25c311394716653.png",intern=TRUE))
character(0)
> try(system("convert tmp/38pkg1394716653.ps tmp/38pkg1394716653.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.172   0.485   2.736