R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(200.7,146.5,143.6,141.5,137.5,138.7,135.5,136.4,112.1,109,123.8,151.2,139.2,115.7,147.6,126.1,122.8,137.3,142,137.4,89.4,108,117.7,127.3,121,104.1,119.5,116.7,96.1,125,118.8,114.9,79.3,90.5,87.8,109.4,88.9,97.4,112,86.8,82.9,105.2,89.1,85.5,87.1,85.2,88.2,104,96.4,82.3,114.1,88.9,93.6,101.8,96.6,93.7,68.4,68.7,81.2,85.1,75.4,71.6,83,72.3,90.2,89,84.9,90.9,46.6,55.4,88.7,76,76.9,72.1,90,92.3,78,93.9,84.5,80.4,60.5,75.3,91.5,105.2,92.7)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/17v291228249224.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2sip81228249224.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.410829121 -0.123112889  0.247431269 -0.054969857
 [6] -0.119545459  0.128284310 -0.144325838  0.188133979 -0.162664338
[11] -0.021761079  0.176388389 -0.254409695  0.116911933  0.001626975
[16] -0.051044746 -0.004929392  0.108408273 -0.208844748  0.143012577
[21]  0.075322357 -0.144169698 -0.073875277  0.270582146 -0.188606581
[26] -0.090983287  0.152103966  0.009694061 -0.140571942  0.069738406
[31]  0.065075171  0.008806235 -0.074459298  0.082940849  0.012354016
[36] -0.062301069 -0.029610596
> (mypacf <- c(rpacf$acf))
 [1] -0.41082912 -0.35116293  0.04778767  0.07962552 -0.04366257  0.02417814
 [7] -0.16104169  0.15625310 -0.08856741 -0.06920057  0.07319816 -0.21003848
[13]  0.05722341 -0.14022110  0.05139647 -0.08574409  0.08634072 -0.13517761
[19] -0.07205092  0.22330336 -0.13457703 -0.12055533  0.10452877 -0.06096732
[25] -0.11264304 -0.05549848  0.09787196 -0.18053731  0.07205091  0.01720739
[31]  0.03269664  0.10144138  0.03615074 -0.06189986  0.03389634 -0.08574182
> 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/30ym11228249224.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/4vehj1228249224.tab") 
> 
> system("convert tmp/17v291228249224.ps tmp/17v291228249224.png")
> system("convert tmp/2sip81228249224.ps tmp/2sip81228249224.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.541   0.320   0.643