R version 2.12.0 (2010-10-15)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(347553
+ ,353245
+ ,347966
+ ,364343
+ ,341713
+ ,361162
+ ,354400
+ ,345183
+ ,341807
+ ,348712
+ ,349011
+ ,416259
+ ,360289
+ ,367557
+ ,364611
+ ,378688
+ ,351763
+ ,377765
+ ,373212
+ ,365819
+ ,364686
+ ,363333
+ ,362536
+ ,428803
+ ,375361
+ ,377205
+ ,381266
+ ,390516
+ ,366117
+ ,393928
+ ,387784
+ ,385656
+ ,385320
+ ,389053
+ ,390595
+ ,462440
+ ,402532
+ ,409070
+ ,421329
+ ,428841
+ ,404864
+ ,432633
+ ,416886
+ ,414893
+ ,417914
+ ,417518
+ ,423137
+ ,506710
+ ,436264
+ ,443712
+ ,452849
+ ,453009
+ ,437876
+ ,460041
+ ,450426
+ ,447873
+ ,444955
+ ,452043
+ ,480877
+ ,546696
+ ,483668
+ ,489627
+ ,490007
+ ,496590
+ ,480846
+ ,497677
+ ,492795
+ ,488495
+ ,486769
+ ,494455
+ ,498054
+ ,558648
+ ,506424
+ ,512528
+ ,512866
+ ,529324
+ ,508431
+ ,523026
+ ,521355
+ ,514103
+ ,513885
+ ,522150
+ ,527384
+ ,654047
+ ,543115
+ ,543200
+ ,571201
+ ,568892
+ ,537223
+ ,553186
+ ,550954
+ ,543433
+ ,557195
+ ,565522
+ ,571691
+ ,633972
+ ,575265
+ ,572364
+ ,586744
+ ,600389
+ ,578540
+ ,610778
+ ,596577
+ ,590558
+ ,597294
+ ,602384
+ ,614190
+ ,690042
+ ,639497
+ ,649304
+ ,678762
+ ,691885
+ ,667973
+ ,682032
+ ,672651
+ ,671865
+ ,671463
+ ,675917
+ ,680952
+ ,754718
+ ,694413
+ ,699390
+ ,710573
+ ,714217
+ ,702996
+ ,712370
+ ,708445
+ ,707083
+ ,700632
+ ,706309
+ ,709523
+ ,769096
+ ,715100
+ ,713872
+ ,714032
+ ,732269
+ ,711137
+ ,715284
+ ,716888
+ ,716426
+ ,714726
+ ,718016
+ ,725932
+ ,779564
+ ,732144
+ ,730816
+ ,746719
+ ,760065
+ ,734516
+ ,740167
+ ,740976
+ ,735764
+ ,734711
+ ,737916
+ ,739132
+ ,792705
+ ,747488
+ ,746616
+ ,749781
+ ,760911
+ ,739543
+ ,745626
+ ,746246
+ ,744769
+ ,741388
+ ,744469
+ ,745566
+ ,798367
+ ,752440
+ ,756627
+ ,758941
+ ,771287
+ ,749858
+ ,758370
+ ,755407
+ ,752063
+ ,756298
+ ,755892
+ ,758486
+ ,812777
+ ,762561
+ ,763579
+ ,764615
+ ,773312
+ ,755697
+ ,762909
+ ,760337
+ ,759270
+ ,754929
+ ,766116
+ ,765945
+ ,814783
+ ,768494
+ ,769222
+ ,768977
+ ,783341
+ ,764061
+ ,767394
+ ,763910
+ ,761677
+ ,759173
+ ,762486
+ ,762690
+ ,809542
+ ,769041
+ ,770889
+ ,773527
+ ,789890
+ ,768325
+ ,772712
+ ,772944
+ ,769637
+ ,768546
+ ,775013
+ ,776635)
> 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/www/rcomp/tmp/1j38o1293638554.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/www/rcomp/tmp/2cu7r1293638554.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/www/rcomp/tmp/3cu7r1293638554.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 0.9744737 0.9642524 0.9548519 0.9464999 0.9313968 0.9254934
 [8] 0.9106044 0.9028907 0.8897284 0.8776847 0.8663517 0.8702157 0.8445452
[15] 0.8328441 0.8217599 0.8119242 0.7953623 0.7873777 0.7708634 0.7615379
[22] 0.7471279 0.7333966 0.7203301
> (mypacf <- c(rpacf$acf))
 [1]  0.974473746  0.290735192  0.110215925  0.062539564 -0.120333039
 [6]  0.112998542 -0.120102893  0.076829184 -0.061455794 -0.050629567
[11]  0.042344015  0.300189703 -0.457977841  0.068847602  0.030843939
[16]  0.010471006 -0.006787247 -0.024856143 -0.031456153  0.028082801
[21] -0.024425590 -0.016437326  0.042350482
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 
> #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/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/www/rcomp/tmp/4q4501293638554.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/www/rcomp/tmp/51dml1293638554.tab") 
> 
> try(system("convert tmp/1j38o1293638554.ps tmp/1j38o1293638554.png",intern=TRUE))
character(0)
> try(system("convert tmp/2cu7r1293638554.ps tmp/2cu7r1293638554.png",intern=TRUE))
character(0)
> try(system("convert tmp/3cu7r1293638554.ps tmp/3cu7r1293638554.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.840   0.540   1.353