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)

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> x <- c(1483509
+ ,8036554
+ ,4623093
+ ,5528662
+ ,4221032
+ ,8061847
+ ,7640066
+ ,2935533
+ ,8161548
+ ,2543967
+ ,13163450
+ ,3348436
+ ,3997440
+ ,2322911
+ ,2019457
+ ,3047748
+ ,5728767
+ ,2605173
+ ,5646743
+ ,13121544
+ ,3453409
+ ,1878333
+ ,4247362
+ ,23022552
+ ,7646203
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+ ,3777904
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+ ,5297275
+ ,14847382
+ ,5900158
+ ,4416718
+ ,3926429
+ ,4876884
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+ ,3556729
+ ,4982836
+ ,2976325
+ ,2295026
+ ,2218752
+ ,4146062
+ ,3302091
+ ,3864505
+ ,5454794
+ ,1749836
+ ,6684048
+ ,2809918
+ ,4092664
+ ,5070470
+ ,9814477
+ ,6665318
+ ,3912554
+ ,6188129
+ ,3627991
+ ,3308767
+ ,3820332
+ ,4932979
+ ,5567917
+ ,5020814
+ ,3803273
+ ,3999984
+ ,4883104
+ ,13731747
+ ,47531824
+ ,8415570
+ ,22178158
+ ,61211654
+ ,18223748
+ ,17678085
+ ,49299580
+ ,25899948
+ ,34121754
+ ,9859231
+ ,29740892
+ ,21085212
+ ,43003866
+ ,59549247
+ ,18026465
+ ,4680597
+ ,5564728
+ ,11792347
+ ,10371624
+ ,3728446
+ ,5732978
+ ,4067638
+ ,2395508
+ ,5018801
+ ,22068888
+ ,7678580
+ ,15510095
+ ,6471239
+ ,14349204
+ ,35151574
+ ,8210488
+ ,5022664
+ ,13996871
+ ,12822431
+ ,14011552
+ ,20260980
+ ,23718976
+ ,45833049
+ ,30688420
+ ,16576062
+ ,14844405
+ ,16728286
+ ,43477680
+ ,57497427
+ ,24233726
+ ,24921208
+ ,9516725
+ ,27977239
+ ,21632046
+ ,22956809
+ ,9704324
+ ,19871149
+ ,5553842
+ ,5667858
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+ ,5986771
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+ ,1822874
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+ ,2920748
+ ,2295942
+ ,6809829
+ ,3318281
+ ,13784645
+ ,7366577
+ ,1628637
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+ ,4063037
+ ,9621916
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+ ,3303103
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+ ,12091976
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+ ,11058795
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+ ,4113468
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+ ,2378854
+ ,2303949
+ ,2555534
+ ,1713005
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+ ,3785568
+ ,4670530
+ ,2265100
+ ,1105643
+ ,2814152
+ ,3728673
+ ,2038949
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+ ,2348814
+ ,2797822
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+ ,1331319
+ ,4204238
+ ,2212485
+ ,6797382
+ ,4532324
+ ,1778808
+ ,1890720
+ ,5463736
+ ,11368931
+ ,2040164
+ ,4276399
+ ,3714445
+ ,2068168
+ ,1003842
+ ,2858535
+ ,2355484
+ ,2719262
+ ,1897741
+ ,3945185
+ ,3799916
+ ,1017654
+ ,3052241
+ ,3932970
+ ,3598151
+ ,2296005
+ ,2202018
+ ,2461777
+ ,2452042
+ ,2185142
+ ,11968502
+ ,20395972
+ ,21756900
+ ,30024300
+ ,10811344
+ ,1819202
+ ,1276885
+ ,2946701
+ ,3587459
+ ,2832691
+ ,6674805
+ ,3868362
+ ,4302909
+ ,23265229
+ ,22348002
+ ,11883953
+ ,6634979
+ ,2935493
+ ,3425669
+ ,1171611
+ ,6875879
+ ,19451908
+ ,13885933
+ ,7643317
+ ,10797966
+ ,7297445
+ ,8739736
+ ,12455537
+ ,24291181
+ ,4215150
+ ,28652176
+ ,6851172
+ ,3746871
+ ,7327861
+ ,16829710
+ ,13778594
+ ,6463717
+ ,8956867
+ ,21204915
+ ,16115855
+ ,2536113
+ ,16645717
+ ,17003730
+ ,15969006
+ ,31020427
+ ,23798897
+ ,20770321
+ ,44410402
+ ,27037491
+ ,29627771
+ ,18189792
+ ,4654610
+ ,12307201
+ ,15300578
+ ,10623864
+ ,6880178
+ ,29947357
+ ,18611399
+ ,42432604
+ ,20208278
+ ,14004392
+ ,25737765
+ ,16735738
+ ,22450825
+ ,6880840
+ ,8510379
+ ,8182481
+ ,10948683
+ ,4805277
+ ,2589229
+ ,5658407
+ ,12862611
+ ,5666188
+ ,6875556
+ ,7098766
+ ,36083309
+ ,10200330
+ ,7784976)
> par8 = ''
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '0'
> par3 = '0'
> par2 = '1'
> par1 = 'Default'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Dr. Ian E. Holliday
> #To cite this work: Ian E. Holliday, 2009, YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: 
> #Technical description: 
> 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/10l601322486742.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/2gqli1322486742.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/3v28r1322486742.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 0.50880736 0.41207215 0.40547432 0.33624140 0.35883962
 [7] 0.32708760 0.28740853 0.25150156 0.22353808 0.24397802 0.20939809
[13] 0.17669284 0.22399285 0.21197868 0.08398611 0.07517838 0.09477457
[19] 0.05999075 0.07940885 0.06052302 0.07428833 0.05071742 0.06729011
[25] 0.08458715 0.08467498
> (mypacf <- c(rpacf$acf))
 [1]  0.508807361  0.206698295  0.188845648  0.056352507  0.134721000
 [6]  0.052849694  0.023998660 -0.008686127 -0.001101507  0.057749160
[11] -0.005605991 -0.017666591  0.084371099  0.038344896 -0.156245784
[16] -0.053821850  0.021948480 -0.027514173  0.014604845 -0.003812049
[21]  0.058115366 -0.009373480  0.027453955  0.023754576  0.049024509
> 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/4yyre1322486742.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/5t82a1322486743.tab") 
> 
> try(system("convert tmp/10l601322486742.ps tmp/10l601322486742.png",intern=TRUE))
character(0)
> try(system("convert tmp/2gqli1322486742.ps tmp/2gqli1322486742.png",intern=TRUE))
character(0)
> try(system("convert tmp/3v28r1322486742.ps tmp/3v28r1322486742.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.018   0.161   1.182