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(192528,190773,188996,185320,221698,219771,192528,174414,176163,176163,178112,181616,192528,188996,194449,203412,254400,254400,243516,232604,241567,252473,254400,259853,276217,265306,265306,281670,327033,330709,321580,299762,316121,316121,317876,327033,334241,337917,337917,348823,390681,401565,403314,376071,390681,385228,374317,397889,403314,394185,396112,408773,456085,479624,479624,468740,485082,468740,459588,494239,499664,486832,519533,532366,570521,595842,592339,590389,604999,603222,581432,614128,625040,614128,659491,681309,732102,752143,746712,735800,744935,755841,719441,748461,766753,759373,806657,822993,892101,904761,888424,897554,903007,908460,873809,906511,924624,906511,959275,975618,1046468,1057380,1060884,1079170,1079170,1086378,1053676,1070041,1080925,1060884,1119079,1129986,1202597,1215430,1233543,1249908,1251657,1253584,1220883,1253584)
> 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. 1.0.44 ()
> #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/1p92d1312381914.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/2n8ow1312381914.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/3brks1312381914.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]  1.000000000  0.974719147  0.950395300  0.923515853  0.895875006
 [6]  0.869071766  0.842311098  0.816445954  0.789799879  0.766716865
[11]  0.743585819  0.722906877  0.700637257  0.675178610  0.649833469
[16]  0.622246406  0.594464577  0.567805106  0.541510989  0.515622059
[21]  0.489258109  0.466547308  0.444629432  0.425049457  0.404081120
[26]  0.381287691  0.359168966  0.334732434  0.310250519  0.286982442
[31]  0.263936876  0.240165606  0.215911448  0.195336128  0.175408210
[36]  0.157581018  0.139018240  0.119110647  0.100155637  0.079028173
[41]  0.057995915  0.038273215  0.018141765 -0.001973206 -0.022262242
[46] -0.039939860 -0.056615655 -0.071657372 -0.087162982
> (mypacf <- c(rpacf$acf))
 [1]  9.747191e-01  6.367533e-03 -6.331095e-02 -3.119687e-02  4.157267e-03
 [6] -1.118540e-02  2.064313e-03 -3.006262e-02  5.481488e-02 -1.043104e-02
[11]  3.025755e-02 -4.571010e-02 -8.095370e-02 -1.400530e-02 -4.948813e-02
[16] -2.327952e-02  1.297063e-02 -8.739526e-03 -6.113981e-03 -3.034949e-02
[21]  4.835673e-02  2.178024e-03  1.736216e-02 -4.315382e-02 -5.301462e-02
[26] -7.707018e-05 -4.698796e-02 -2.506073e-02  1.652203e-02 -1.139592e-02
[31] -2.633698e-02 -3.544030e-02  4.594650e-02 -2.611638e-03  4.284550e-03
[36] -3.219892e-02 -4.507919e-02  5.670846e-03 -4.436011e-02 -2.829395e-02
[41]  1.854785e-02 -2.286799e-02 -8.316415e-03 -2.997997e-02  2.162218e-02
[46]  3.955080e-03 -9.773109e-03 -3.005132e-02
> 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/4zs871312381914.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/50wld1312381914.tab") 
> 
> try(system("convert tmp/1p92d1312381914.ps tmp/1p92d1312381914.png",intern=TRUE))
character(0)
> try(system("convert tmp/2n8ow1312381914.ps tmp/2n8ow1312381914.png",intern=TRUE))
character(0)
> try(system("convert tmp/3brks1312381914.ps tmp/3brks1312381914.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.730   0.090   0.805