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(25525,26197,26555,57364,62022,34392,37258,76262,50423,32959,38601,31705,40754,41827,43983,91590,99026,54911,59487,121762,80508,52623,61632,50621,70206,68382,73039,157780,170589,94594,102477,209757,138689,90652,106172,87204,110160,112200,113832,245616,265608,147288,159528,326400,215832,141168,165240,135864)
> par8 = ''
> par7 = '0.95'
> par6 = 'MA'
> par5 = '12'
> par4 = '0'
> par3 = '0'
> par2 = '0.0'
> 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/1s8ev1301569920.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/203w01301569920.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/39x031301569920.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  0.77025244  0.57792688  0.61391119  0.57208996  0.43447621
 [7]  0.34877528  0.33388532  0.38594539  0.36541658  0.25445583  0.31906272
[13]  0.40440223  0.22616654  0.07379022  0.09642224  0.06743510 -0.03769682
[19] -0.10758881 -0.12336108 -0.08678241 -0.10451878 -0.18393028 -0.14026691
[25] -0.08749998 -0.19501756 -0.29019424 -0.26530038 -0.26145937 -0.31289425
[31] -0.34315623 -0.34091854 -0.30040033 -0.29332756 -0.32080493 -0.28165653
[37] -0.24193749 -0.27533211 -0.30362241 -0.26942874 -0.22746303 -0.22248424
[43] -0.21093027 -0.18358920 -0.13467693 -0.09955531 -0.06925736 -0.02936204
> (mypacf <- c(rpacf$acf))
 [1]  0.770252435 -0.037771104  0.445770252 -0.136961202 -0.028301757
 [6] -0.098000936  0.056332003  0.267296408 -0.052661426 -0.107902432
[11]  0.276788614 -0.070121977 -0.358170372 -0.076555893 -0.050667491
[16] -0.020868869 -0.014605658 -0.016616673 -0.045540029 -0.047915151
[21] -0.006045431  0.009461111  0.005478683 -0.058904710 -0.014910427
[26] -0.085923030 -0.032723451  0.010556201 -0.008799816  0.014775192
[31] -0.071162839 -0.027404283 -0.011640875  0.015424621 -0.020752049
[36] -0.044325489  0.057048437 -0.032251496 -0.008944340  0.069358510
[41] -0.019437897  0.059317465 -0.041749994  0.018763992  0.025545441
[46]  0.069379994 -0.001707613
> 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/4mq1a1301569920.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/5ekox1301569920.tab") 
> 
> try(system("convert tmp/1s8ev1301569920.ps tmp/1s8ev1301569920.png",intern=TRUE))
character(0)
> try(system("convert tmp/203w01301569920.ps tmp/203w01301569920.png",intern=TRUE))
character(0)
> try(system("convert tmp/39x031301569920.ps tmp/39x031301569920.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.850   0.540   1.387