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 = '0'
> par3 = '0'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1tgww1259688988.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2ioma1259688988.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.793831804  0.437614338  0.129957468 -0.038518983
 [6] -0.079471633 -0.080530105 -0.068686128 -0.029462094  0.108721257
[11]  0.353952236  0.636683179  0.783779112  0.592699632  0.286374672
[16]  0.016808730 -0.135699735 -0.178446816 -0.185241429 -0.177945095
[21] -0.147965782 -0.034908585  0.161772380  0.383233824  0.482170191
[26]  0.314935677  0.072155158 -0.135274502 -0.253611386 -0.294488539
[31] -0.306400790 -0.297200901 -0.264978915 -0.168088678 -0.009950799
[36]  0.163612491  0.233035665
> (mypacf <- c(rpacf$acf))
 [1]  0.793831804 -0.520655545  0.055667156  0.051722094  0.011327586
 [6] -0.109320010  0.047195899  0.087225483  0.320876385  0.332219958
[11]  0.409238298  0.117707594 -0.602202902  0.362090286 -0.170229812
[16] -0.124368178 -0.086867841 -0.054434268 -0.095803430 -0.088545208
[21] -0.046020582 -0.102328506 -0.109591584 -0.061731024  0.018953335
[26] -0.007095075  0.012666832 -0.080736214 -0.041326830  0.050087102
[31]  0.015174864 -0.042673259 -0.062213008  0.006487741 -0.019952855
[36] -0.003165193
> 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/3vs1r1259688988.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/45fk21259688988.tab") 
> 
> system("convert tmp/1tgww1259688988.ps tmp/1tgww1259688988.png")
> system("convert tmp/2ioma1259688988.ps tmp/2ioma1259688988.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.545   0.320   0.680