R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(116222,110924,103753,99983,93302,91496,119321,139261,133739,123913,113438,109416,109406,105645,101328,97686,93093,91382,122257,139183,139887,131822,116805,113706,113012,110452,107005,102841,98173,98181,137277,147579,146571,138920,130340,128140,127059,122860,117702,113537,108366,111078,150739,159129,157928,147768,137507,136919,136151,133001,125554,119647,114158,116193,152803,161761,160942,149470,139208,134588,130322,126611,122401,117352,112135,112879,148729,157230,157221,146681,136524,132111)
> par7 = '0.95'
> par6 = 'MA'
> par5 = '12'
> par4 = '1'
> par3 = '1'
> par2 = '1'
> par1 = '36'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1j61r1259081728.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2rduk1259081728.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.055239166 -0.143399812 -0.167080890  0.073518808
 [6]  0.150495013  0.104926173  0.151432118 -0.100171882  0.140350475
[11]  0.009666655 -0.172618815  0.013839039  0.005346756  0.271417123
[16] -0.005054107  0.027470767 -0.071377782 -0.077294085 -0.015783174
[21] -0.035550793  0.129132969  0.033474816  0.031722599 -0.114735119
[26] -0.206075426 -0.054128678  0.012650115  0.171179559  0.004586498
[31] -0.165700072 -0.145385603  0.039093901 -0.010139166 -0.030159074
[36]  0.041190110 -0.063997723
> (mypacf <- c(rpacf$acf))
 [1] -0.055239166 -0.146899422 -0.188921253  0.026662365  0.112470060
 [6]  0.119957054  0.248104011  0.018865103  0.240860045  0.081965641
[11] -0.220160017 -0.050463014 -0.173426634  0.116185256  0.033089660
[16]  0.099794821  0.155748543 -0.006825575 -0.110043429 -0.144615852
[21] -0.121254230 -0.049496322 -0.019713195 -0.025194874 -0.067481291
[26] -0.101225000 -0.063591464  0.039151281  0.052397993 -0.130894404
[31] -0.102289632  0.090386627 -0.035374492  0.062389921  0.094524423
[36] -0.059177557
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/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/html/rcomp/tmp/3wmqk1259081728.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/html/rcomp/tmp/4lb251259081728.tab") 
> 
> system("convert tmp/1j61r1259081728.ps tmp/1j61r1259081728.png")
> system("convert tmp/2rduk1259081728.ps tmp/2rduk1259081728.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.542   0.318   0.778