R version 3.2.4 (2016-03-10) -- "Very Secure Dishes"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(250785
+ ,250140
+ ,255755
+ ,254671
+ ,253919
+ ,253741
+ ,252729
+ ,253810
+ ,256653
+ ,255231
+ ,258405
+ ,251061
+ ,254811
+ ,254895
+ ,258325
+ ,257608
+ ,258759
+ ,258621
+ ,257852
+ ,260560
+ ,262358
+ ,260812
+ ,261165
+ ,257164
+ ,260720
+ ,259581
+ ,264743
+ ,261845
+ ,262262
+ ,261631
+ ,258953
+ ,259966
+ ,262850
+ ,262204
+ ,263418
+ ,262752
+ ,266433
+ ,267722
+ ,266003
+ ,262971
+ ,265521
+ ,264676
+ ,270223
+ ,269508
+ ,268457
+ ,265814
+ ,266680
+ ,263018
+ ,269285
+ ,269829
+ ,270911
+ ,266844
+ ,271244
+ ,269907
+ ,271296
+ ,270157
+ ,271322
+ ,267179
+ ,264101
+ ,265518
+ ,269419
+ ,268714
+ ,272482
+ ,268351
+ ,268175
+ ,270674
+ ,272764
+ ,272599
+ ,270333
+ ,270846
+ ,270491
+ ,269160
+ ,274027
+ ,273784
+ ,276663
+ ,274525
+ ,271344
+ ,271115
+ ,270798
+ ,273911
+ ,273985
+ ,271917
+ ,273338
+ ,270601
+ ,273547
+ ,275363
+ ,281229
+ ,277793
+ ,279913
+ ,282500
+ ,280041
+ ,282166
+ ,290304
+ ,283519
+ ,287816
+ ,285226
+ ,287595
+ ,289741
+ ,289148
+ ,288301
+ ,290155
+ ,289648
+ ,288225
+ ,289351
+ ,294735
+ ,305333
+ ,309030
+ ,310215
+ ,321935
+ ,325734
+ ,320846
+ ,323023
+ ,319753
+ ,321753
+ ,320757
+ ,324479
+ ,324641
+ ,322767
+ ,324181
+ ,321389
+ ,327897
+ ,334287
+ ,332653
+ ,334819
+ ,335264
+ ,339622
+ ,342440
+ ,346585
+ ,335378
+ ,337010
+ ,339130
+ ,341193
+ ,343507
+ ,348915
+ ,346431
+ ,348322
+ ,348288
+ ,346597
+ ,351076
+ ,355215
+ ,350562
+ ,355266
+ ,361565
+ ,363462
+ ,366183
+ ,365423
+ ,369208
+ ,366713
+ ,369354
+ ,371970
+ ,371824
+ ,373187
+ ,367270
+ ,368140
+ ,373742
+ ,364815
+ ,368558
+ ,371503
+ ,372611
+ ,370197
+ ,375441
+ ,375888
+ ,375132
+ ,381142
+ ,372024
+ ,376070
+ ,376864
+ ,371401
+ ,375687
+ ,384304
+ ,380738
+ ,379908
+ ,384007
+ ,384499
+ ,385106
+ ,387935
+ ,380435
+ ,379281
+ ,384153
+ ,380599)
> 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. 1.2.327 (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/1bywc1458075134.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/2nvrg1458075134.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/3sxde1458075134.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] 1.0000000 0.9852000 0.9708105 0.9581636 0.9444524 0.9291153 0.9145260
 [8] 0.8984809 0.8830050 0.8687758 0.8539579 0.8386705 0.8247692 0.8096750
[15] 0.7940780 0.7791817 0.7646039 0.7479165 0.7318907 0.7146590 0.6975213
[22] 0.6816551 0.6649462 0.6481002 0.6316824 0.6149817 0.5966639 0.5800139
[29] 0.5624345 0.5437612 0.5253320 0.5054232 0.4864911 0.4687916 0.4499287
[36] 0.4315246 0.4129556 0.3939721 0.3759623 0.3585805 0.3415618 0.3235087
[43] 0.3063010 0.2901791 0.2735313 0.2569924 0.2403171 0.2228175 0.2062185
> (mypacf <- c(rpacf$acf))
 [1]  9.852000e-01  6.515592e-03  5.220116e-02 -4.115612e-02 -6.008438e-02
 [6]  1.209631e-02 -6.192805e-02  1.610190e-02  3.067314e-02 -2.338902e-02
[11] -1.514200e-02  2.972907e-02 -4.906610e-02 -1.942717e-02  4.976704e-03
[16]  1.998923e-03 -6.952894e-02  6.076840e-03 -5.660206e-02  1.269586e-03
[21]  2.958910e-02 -4.047316e-02  5.840083e-03 -1.057300e-02 -2.300731e-02
[26] -5.832554e-02  3.660626e-02 -4.955827e-02 -3.085407e-02 -1.193790e-02
[31] -7.151374e-02  3.659861e-02  1.701521e-02 -4.796544e-02  2.700652e-02
[36] -3.987657e-02 -3.243682e-02  3.388460e-02 -1.245498e-02  1.569279e-02
[41] -4.222318e-02  9.891247e-03  2.075750e-02 -2.007726e-02 -1.446085e-02
[46] -2.196659e-02 -2.334968e-02  2.365556e-05
> 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/4nm1e1458075134.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/53e6h1458075134.tab") 
> 
> try(system("convert tmp/1bywc1458075134.ps tmp/1bywc1458075134.png",intern=TRUE))
character(0)
> try(system("convert tmp/2nvrg1458075134.ps tmp/2nvrg1458075134.png",intern=TRUE))
character(0)
> try(system("convert tmp/3sxde1458075134.ps tmp/3sxde1458075134.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.222   0.256   1.483