R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(181896.00
+ ,181580.00
+ ,181234.00
+ ,180598.00
+ ,187123.00
+ ,186807.00
+ ,181896.00
+ ,178638.00
+ ,178954.00
+ ,178954.00
+ ,179269.00
+ ,179936.00
+ ,181580.00
+ ,179616.00
+ ,181580.00
+ ,179936.00
+ ,185158.00
+ ,187469.00
+ ,177656.00
+ ,175025.00
+ ,177305.00
+ ,176989.00
+ ,175025.00
+ ,175345.00
+ ,179269.00
+ ,178638.00
+ ,179269.00
+ ,179269.00
+ ,183545.00
+ ,184176.00
+ ,172398.00
+ ,172398.00
+ ,176989.00
+ ,174709.00
+ ,170785.00
+ ,172398.00
+ ,176327.00
+ ,174363.00
+ ,174047.00
+ ,169803.00
+ ,176007.00
+ ,177305.00
+ ,164545.00
+ ,164229.00
+ ,170785.00
+ ,167176.00
+ ,160967.00
+ ,163598.00
+ ,166509.00
+ ,167176.00
+ ,165212.00
+ ,161287.00
+ ,169456.00
+ ,169456.00
+ ,155078.00
+ ,154101.00
+ ,158025.00
+ ,150838.00
+ ,143616.00
+ ,145932.00
+ ,150838.00
+ ,146910.00
+ ,144283.00
+ ,138710.00
+ ,146247.00
+ ,146563.00
+ ,132190.00
+ ,131839.00
+ ,134470.00
+ ,126301.00
+ ,117465.00
+ ,121043.00
+ ,125950.00
+ ,120728.00
+ ,120412.00
+ ,115154.00
+ ,123670.00
+ ,125319.00
+ ,109266.00
+ ,105688.00
+ ,107968.00
+ ,99132.00
+ ,89981.00
+ ,92928.00
+ ,98470.00
+ ,91946.00
+ ,92928.00
+ ,89004.00
+ ,97172.00
+ ,98150.00
+ ,78524.00
+ ,77221.00
+ ,80799.00
+ ,71333.00
+ ,62817.00
+ ,65764.00
+ ,72950.00
+ ,64462.00
+ ,63799.00
+ ,57244.00
+ ,64462.00
+ ,66742.00
+ ,46448.00
+ ,46448.00
+ ,49391.00
+ ,41542.00
+ ,32706.00
+ ,37297.00
+ ,45466.00
+ ,36631.00
+ ,40244.00
+ ,35333.00
+ ,43186.00
+ ,45813.00
+ ,24853.00
+ ,23240.00
+ ,26502.00
+ ,18649.00
+ ,12444.00
+ ,15040.00)
> par8 = ''
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '0'
> par3 = '1'
> par2 = '1'
> par1 = '60'
> par8 <- ''
> par7 <- '0.95'
> par6 <- 'White Noise'
> par5 <- '12'
> par4 <- '0'
> par3 <- '1'
> par2 <- '1'
> par1 <- '60'
> #'GNU S' R Code compiled by R2WASP v. 1.2.327 (Mon, 30 Nov 2015 06:58:35 +0000)
> #Author: root
> #To cite this work: Wessa P., (2015), (Partial) Autocorrelation Function (v1.0.12) 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)
> x <- na.omit(x)
> 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/1yobd1469260625.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/2kv5l1469260625.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/3361g1469260625.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 -0.12101633 -0.53395911  0.22140430  0.32943628 -0.05985135
 [7] -0.40754861 -0.04490286  0.32695071  0.18201307 -0.49356394 -0.08108663
[13]  0.86536779 -0.11779944 -0.50877266  0.21819230  0.31890105 -0.09247984
[19] -0.35770412 -0.02556375  0.29480391  0.13833107 -0.42661798 -0.05716038
[25]  0.73427934 -0.10700426 -0.45790092  0.21046114  0.27204645 -0.11867138
[31] -0.30998753 -0.01091328  0.24312772  0.09131839 -0.36313157 -0.04431740
[37]  0.60109783 -0.10322420 -0.39294433  0.19321800  0.23462937 -0.13119406
[43] -0.26398680  0.01265038  0.18514258  0.05592347 -0.30808804 -0.04656574
[49]  0.47758905 -0.09165508 -0.31994666  0.16469556  0.18688390 -0.14280690
[55] -0.21606097  0.02676367  0.13389315  0.01836898 -0.24571679 -0.03503725
[61]  0.37196203
> (mypacf <- c(rpacf$acf))
 [1] -0.121016331 -0.556757754  0.078588158  0.120745894  0.243783101
 [6] -0.298244690 -0.254366056 -0.144809929  0.454984149 -0.239026041
[11]  0.055163317  0.675197092  0.124655567  0.124941962 -0.020249133
[16] -0.031330879 -0.098474523  0.129031239  0.030795600 -0.018811602
[21] -0.085833859  0.076272188 -0.040455509  0.013236203 -0.010787604
[26]  0.081894642 -0.013513335 -0.069596395 -0.088954497 -0.070498647
[31] -0.036655952 -0.047783984 -0.062443910 -0.074455059 -0.078765537
[36] -0.119161633 -0.068937695 -0.006518176 -0.010539378  0.047184266
[41]  0.005255138 -0.021903750  0.006997774 -0.026516255  0.021148886
[46] -0.032704213 -0.061996685 -0.115875568 -0.022907168  0.047105592
[51]  0.035918141 -0.016130820 -0.074662511 -0.055836479 -0.017760576
[56]  0.052839417 -0.014853680  0.034660504 -0.009522256  0.008843786
> 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/4erkj1469260625.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/55v4i1469260625.tab") 
> 
> try(system("convert tmp/1yobd1469260625.ps tmp/1yobd1469260625.png",intern=TRUE))
character(0)
> try(system("convert tmp/2kv5l1469260625.ps tmp/2kv5l1469260625.png",intern=TRUE))
character(0)
> try(system("convert tmp/3361g1469260625.ps tmp/3361g1469260625.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.272   0.078   1.365