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(102.86,102.55,102.28,102.26,102.57,103.08,102.76,102.51,102.87,103.14,103.12,103.16,102.48,102.57,102.88,102.63,102.38,101.69,101.96,102.19,101.87,101.6,101.63,101.22,101.21,101.49,101.64,101.66,101.77,101.82,101.78,101.28,101.29,101.37,101.12,101.51,102.24,102.94,103.09,103.46,103.64,104.39,104.15,105.21,105.8,105.91,105.39,105.46,104.72,103.14,102.63,102.32,101.93,100.62,100.6,99.63,98.9,98.32,99.22,98.81)
> par7 = '0.95'
> par6 = 'White Noise'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/19rxs1259700957.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/238ok1259700957.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.290186805  0.221188867  0.145976874  0.319800786
 [6] -0.011315846  0.114614050  0.120651775  0.066419639 -0.132339585
[11] -0.128549690  0.019875252 -0.311101403 -0.188652220 -0.053904480
[16]  0.043143917 -0.149695667 -0.023376044 -0.064757653 -0.031863010
[21] -0.231618549 -0.081492028  0.004281973 -0.051803018 -0.133966009
[26]  0.032180318 -0.063469518 -0.115983058 -0.052671345  0.029455936
[31]  0.011108360 -0.040666889  0.079795583  0.054974785  0.004324796
[36] -0.064010793  0.035884285
> (mypacf <- c(rpacf$acf))
 [1]  0.290186805  0.149576041  0.053598069  0.267980394 -0.208921546
 [6]  0.095924674  0.081109696 -0.103306404 -0.108833243 -0.165487590
[11]  0.121584087 -0.376967379  0.075324072  0.143119422 -0.016064802
[16]  0.133172690 -0.073251259 -0.028926173  0.002103744 -0.255631964
[21] -0.011263319 -0.040920638  0.017139017 -0.087365633  0.068119726
[26] -0.002492337 -0.019685383  0.102613838 -0.063541394 -0.003509754
[31] -0.011793571 -0.022891144 -0.085702494  0.006202235 -0.007620423
[36] -0.160798582
> 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/3wg7d1259700957.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/4rvh71259700957.tab") 
> system("convert tmp/19rxs1259700957.ps tmp/19rxs1259700957.png")
> system("convert tmp/238ok1259700957.ps tmp/238ok1259700957.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.543   0.313   0.636