R version 2.12.1 (2010-12-16)
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(276986
+ ,260633
+ ,291551
+ ,275383
+ ,275302
+ ,231693
+ ,238829
+ ,274215
+ ,277808
+ ,299060
+ ,286629
+ ,232313
+ ,294053
+ ,267510
+ ,309739
+ ,280733
+ ,287298
+ ,235672
+ ,256449
+ ,288997
+ ,290789
+ ,321898
+ ,291834
+ ,241380
+ ,295469
+ ,258200
+ ,306102
+ ,281480
+ ,283101
+ ,237414
+ ,274834
+ ,299340
+ ,300383
+ ,340862
+ ,318794
+ ,265740
+ ,322656
+ ,281563
+ ,323461
+ ,312579
+ ,310784
+ ,262785
+ ,273754
+ ,320036
+ ,310336
+ ,342206
+ ,320052
+ ,265582
+ ,326988
+ ,300713
+ ,346414
+ ,317325
+ ,326208
+ ,270657
+ ,278158
+ ,324584
+ ,321801
+ ,343542
+ ,354040
+ ,278179
+ ,330246
+ ,307344
+ ,375874
+ ,335309
+ ,339271
+ ,280264
+ ,293689
+ ,341161
+ ,345097
+ ,368712
+ ,369403
+ ,288384
+ ,340981
+ ,319072
+ ,374214
+ ,344529
+ ,337271
+ ,281016
+ ,282224
+ ,320984
+ ,325426
+ ,366276
+ ,380296
+ ,300727
+ ,359326
+ ,327610
+ ,383563
+ ,352405
+ ,329351
+ ,294486
+ ,333454
+ ,334339
+ ,358000
+ ,396057
+ ,386976
+ ,307155
+ ,363909
+ ,344700
+ ,397561
+ ,376791
+ ,337085
+ ,299252
+ ,323136
+ ,329091
+ ,346991
+ ,461999
+ ,436533
+ ,360372
+ ,415467
+ ,382110
+ ,432197
+ ,424254
+ ,386728
+ ,354508
+ ,375765
+ ,367986
+ ,402378
+ ,426516
+ ,433313
+ ,338461
+ ,416834
+ ,381099
+ ,445673
+ ,412408
+ ,393997
+ ,348241
+ ,380134
+ ,373688
+ ,393588
+ ,434192
+ ,430731
+ ,344468
+ ,411891
+ ,370497
+ ,437305
+ ,411270
+ ,385495
+ ,341273
+ ,384217
+ ,373223
+ ,415771
+ ,448634
+ ,454341
+ ,350297
+ ,419104
+ ,398027
+ ,456059
+ ,430052
+ ,399757
+ ,362731
+ ,384896
+ ,385349
+ ,432289
+ ,468891
+ ,442702
+ ,370178
+ ,439400
+ ,393900
+ ,468700
+ ,438800
+ ,430100
+ ,366300
+ ,391000
+ ,380900
+ ,431400
+ ,465400
+ ,471500
+ ,387500
+ ,446400
+ ,421500
+ ,504800
+ ,492071
+ ,421253
+ ,396682
+ ,428000
+ ,421900
+ ,465600
+ ,525793
+ ,499855
+ ,435287
+ ,479499
+ ,473027
+ ,554410
+ ,489574
+ ,462157
+ ,420331)
> 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/16k4w1322920138.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/2uv7b1322920138.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/3lvri1322920138.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 0.7908154 0.7347297 0.6308017 0.6603518 0.7089029 0.7703806
 [8] 0.6677546 0.5883325 0.5170627 0.5892817 0.6215311 0.7812415 0.5995809
[15] 0.5554391 0.4606893 0.4872667 0.5398411 0.5947379 0.5037992 0.4364811
[22] 0.3722582 0.4463606
> (mypacf <- c(rpacf$acf))
 [1]  0.790815412  0.291877841 -0.033452141  0.289754979  0.331127223
 [6]  0.272471693 -0.245022144 -0.181977957  0.004856751  0.293501680
[11]  0.025067619  0.499777834 -0.548295510 -0.084489236 -0.005534172
[16] -0.040388752  0.014622338 -0.002844027  0.097982021  0.033846865
[21]  0.086371998  0.045746559
> 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/48nnv1322920138.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/5x7ns1322920138.tab") 
> 
> try(system("convert tmp/16k4w1322920138.ps tmp/16k4w1322920138.png",intern=TRUE))
character(0)
> try(system("convert tmp/2uv7b1322920138.ps tmp/2uv7b1322920138.png",intern=TRUE))
character(0)
> try(system("convert tmp/3lvri1322920138.ps tmp/3lvri1322920138.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.120   0.240   1.336