R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- c(348542
+ ,335658
+ ,330664
+ ,326814
+ ,322900
+ ,322310
+ ,385164
+ ,404861
+ ,412136
+ ,411057
+ ,410040
+ ,414980
+ ,413626
+ ,411062
+ ,408352
+ ,409780
+ ,411318
+ ,415555
+ ,479481
+ ,497826
+ ,501638
+ ,497990
+ ,499287
+ ,506247
+ ,510401
+ ,508642
+ ,501805
+ ,495476
+ ,490336
+ ,490042
+ ,553155
+ ,569999
+ ,573170
+ ,571687
+ ,575453
+ ,580177
+ ,579849
+ ,574346
+ ,563325
+ ,555604
+ ,545544
+ ,545109
+ ,605181
+ ,627856
+ ,631421
+ ,625671
+ ,613577
+ ,606463
+ ,601676
+ ,589121
+ ,573559
+ ,558487
+ ,552148
+ ,545720
+ ,606569
+ ,636067
+ ,630704
+ ,623275
+ ,617771
+ ,605401
+ ,619393
+ ,596019
+ ,569977
+ ,546213
+ ,528492
+ ,505944
+ ,554910
+ ,567831
+ ,564021
+ ,552800
+ ,541102
+ ,542378
+ ,540380
+ ,521219
+ ,504652
+ ,490626
+ ,481686
+ ,477930
+ ,522605
+ ,531432
+ ,532355
+ ,539954
+ ,524987
+ ,533307
+ ,530541
+ ,508392
+ ,495208
+ ,482223
+ ,470495
+ ,466106
+ ,515037
+ ,517752
+ ,515565
+ ,510727
+ ,499725
+ ,498369
+ ,493756
+ ,476141
+ ,458458
+ ,443182
+ ,429597
+ ,424476
+ ,476257
+ ,480555
+ ,469762
+ ,459820
+ ,451028
+ ,450065
+ ,444385
+ ,428846
+ ,421020
+ ,399778
+ ,389005
+ ,384018
+ ,431933
+ ,445844
+ ,431464
+ ,423263
+ ,415881
+ ,416208
+ ,413491
+ ,399153
+ ,385939
+ ,373917
+ ,364635
+ ,364696
+ ,418358
+ ,428212
+ ,423730
+ ,420677
+ ,417428
+ ,423245
+ ,423113
+ ,418873
+ ,405733
+ ,397812
+ ,389918
+ ,391116
+ ,443814
+ ,460373
+ ,455422
+ ,456288
+ ,452233
+ ,459256
+ ,461146
+ ,451391
+ ,443101
+ ,438810
+ ,430457
+ ,435721
+ ,488280
+ ,505814
+ ,502338
+ ,500910
+ ,501434
+ ,515476
+ ,520862
+ ,519517
+ ,511805
+ ,508607
+ ,505327
+ ,511435
+ ,570158
+ ,591665
+ ,593572
+ ,586346
+ ,586063
+ ,591504
+ ,594033
+ ,585597
+ ,572450
+ ,562917
+ ,554675
+ ,553997
+ ,601310
+ ,622255
+ ,616735
+ ,606480
+ ,595079
+ ,598588
+ ,599917
+ ,591573
+ ,575489
+ ,567223
+ ,555338
+ ,555252
+ ,608249
+ ,630859
+ ,628632
+ ,624435
+ ,609670
+ ,615830
+ ,621170
+ ,604212
+ ,584348
+ ,573717
+ ,555234
+ ,544897
+ ,598866
+ ,620081
+ ,607699
+ ,589960
+ ,578665
+ ,580166
+ ,579457
+ ,571560
+ ,560460
+ ,551397
+ ,536763
+ ,540562
+ ,588184
+ ,607049
+ ,598968
+ ,577644
+ ,562640
+ ,565867
+ ,561274
+ ,554144
+ ,539900
+ ,526271
+ ,511841
+ ,505282
+ ,554083
+ ,584225
+ ,568858
+ ,539516
+ ,521612
+ ,525562
+ ,526519
+ ,515713
+ ,503454
+ ,489301
+ ,479020
+ ,475102
+ ,523682
+ ,551528
+ ,531626
+ ,511037
+ ,492417
+ ,492188
+ ,492865
+ ,480961
+ ,461935
+ ,456608
+ ,441977
+ ,439148
+ ,488180
+ ,520564
+ ,501492
+ ,485025
+ ,464196
+ ,460170
+ ,467037
+ ,460070
+ ,447988
+ ,442867
+ ,436087
+ ,431328
+ ,484015
+ ,509673
+ ,512927
+ ,502831
+ ,470984
+ ,471067
+ ,476049
+ ,474605
+ ,470439
+ ,461251
+ ,454724
+ ,455626
+ ,516847
+ ,525192
+ ,522975
+ ,518585
+ ,509239
+ ,512238
+ ,519164
+ ,517009
+ ,509933
+ ,509127
+ ,500857
+ ,506971
+ ,569323
+ ,579714
+ ,577992
+ ,565464
+ ,547344
+ ,554788
+ ,562325
+ ,560854
+ ,555332
+ ,543599
+ ,536662
+ ,542722
+ ,593530
+ ,610763
+ ,612613
+ ,611324
+ ,594167
+ ,595454
+ ,590865
+ ,589379
+ ,584428
+ ,573100
+ ,567456
+ ,569028
+ ,620735
+ ,628884
+ ,628232
+ ,612117
+ ,595404
+ ,597141)
> par8 = ''
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '0'
> par3 = '1'
> par2 = '1'
> par1 = '60'
> 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/1hdk61322903261.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/2svir1322903261.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/3gdqi1322903261.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$acf))
 [1]  1.00000000  0.31550543 -0.14061465 -0.25445689 -0.23399086 -0.02842918
 [7]  0.08394183 -0.02824587 -0.22123400 -0.24446624 -0.15100889  0.30043267
[13]  0.91028769  0.29727420 -0.14331152 -0.26307113 -0.23971477 -0.03378502
[19]  0.07376430 -0.03618931 -0.21601880 -0.24990131 -0.16367000  0.28406969
[25]  0.85395005  0.27727128 -0.14042667 -0.26441709 -0.24895633 -0.04481137
[31]  0.05105915 -0.05024447 -0.21232217 -0.25442698 -0.16318953  0.25536071
[37]  0.79669331  0.25692356 -0.14971970 -0.27579528 -0.25815362 -0.06214997
[43]  0.04504406 -0.05349173 -0.21482222 -0.24860733 -0.15847582  0.24222325
[49]  0.74396559  0.23363832 -0.15920601 -0.26961494 -0.24994856 -0.07058864
[55]  0.03748223 -0.04972084 -0.19898666 -0.23631908 -0.15890688  0.21181389
[61]  0.69668887
> (mypacf <- c(rpacf$acf))
 [1]  0.315505431 -0.266707363 -0.136431853 -0.156360519  0.034069874
 [6] -0.019344339 -0.142017222 -0.237920625 -0.168913064 -0.183531352
[11]  0.279956751  0.860434551 -0.166192648 -0.053614908  0.008310297
[16]  0.014395100 -0.049501769 -0.060986145 -0.038402640 -0.035792383
[21] -0.086433231 -0.021100447 -0.001447112  0.137904565 -0.088186745
[26]  0.022656238  0.028824525 -0.042426271 -0.056922266 -0.086827310
[31] -0.033543202 -0.019641609 -0.052151616  0.054797770 -0.129355909
[36]  0.019576400 -0.034111102 -0.073655197 -0.055307640 -0.022671212
[41] -0.070520071  0.061830162 -0.023634286 -0.067954624  0.031780587
[46]  0.032941865  0.005799200 -0.034363290 -0.054532732 -0.045288119
[51]  0.055578473  0.025880643 -0.055052272 -0.022413835  0.037425772
[56]  0.063962241 -0.011281629 -0.075211117 -0.113484875  0.008986292
> 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/4ju2r1322903261.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/55b0d1322903261.tab") 
> 
> try(system("convert tmp/1hdk61322903261.ps tmp/1hdk61322903261.png",intern=TRUE))
character(0)
> try(system("convert tmp/2svir1322903261.ps tmp/2svir1322903261.png",intern=TRUE))
character(0)
> try(system("convert tmp/3gdqi1322903261.ps tmp/3gdqi1322903261.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.022   0.156   1.174