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(58608,46865,51378,46235,47206,45382,41227,33795,31295,42625,33625,21538,56421,53152,53536,52408,41454,38271,35306,26414,31917,38030,27534,18387,50556,43901,48572,43899,37532,40357,35489,29027,34485,42598,30306,26451,47460,50104,61465,53726,39477,43895,31481,29896,33842,39120,33702,25094,51442,45594,52518,48564,41745,49585,32747,33379,35645,37034,35681,20972)
> par20 = ''
> par19 = ''
> par18 = ''
> par17 = ''
> par16 = ''
> par15 = ''
> par14 = ''
> par13 = ''
> par12 = ''
> par11 = ''
> par10 = ''
> par9 = ''
> par8 = ''
> par7 = '0.95'
> par6 = 'MA'
> par5 = '12'
> par4 = '0'
> par3 = '0'
> par2 = '1'
> par1 = '36'
> 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 (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> 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/1un3x1322568319.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=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/20hh01322568319.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')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.386463379  0.151366508  0.060957424 -0.175152576
 [6] -0.263011598 -0.419162092 -0.329088157 -0.215669880 -0.057348958
[11]  0.006996302  0.205671209  0.706952611  0.297202926  0.121857480
[16]  0.043034145 -0.178412203 -0.228253012 -0.356356588 -0.297509492
[21] -0.177616747 -0.115161994 -0.067330945  0.115213550  0.483622121
[26]  0.211872831  0.096328574  0.001006960 -0.130383015 -0.146713400
[31] -0.275562063 -0.195594210 -0.085883874 -0.022774002  0.006753914
[36]  0.100661862  0.366442780
> (mypacf <- c(rpacf$acf))
 [1]  0.3864633792  0.0023659251  0.0019795290 -0.2347202796 -0.1478134848
 [6] -0.3124600330 -0.0751352978 -0.0929571541  0.0453832927 -0.1204028162
[11]  0.1372397265  0.6281836823 -0.3205324730 -0.1174076511 -0.1193047222
[16] -0.0407831133 -0.0436858955  0.0828012297  0.0161704151 -0.0187769690
[21] -0.1554019951 -0.0479188775  0.0004483588 -0.0848104667 -0.0685278865
[26] -0.0200338611 -0.1486218426  0.0787939581  0.0142662758 -0.0632688355
[31]  0.0143746557 -0.0350504275  0.1385009516  0.0334034069 -0.0975212483
[36] -0.0217499018
> 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/31hiv1322568319.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/40c131322568319.tab") 
> 
> try(system("convert tmp/1un3x1322568319.ps tmp/1un3x1322568319.png",intern=TRUE))
character(0)
> try(system("convert tmp/20hh01322568319.ps tmp/20hh01322568319.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.920   0.180   1.249