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(97.6,96,115.9,109.1,117.3,109.8,112.8,110.7,100,113.3,122.4,112.5,104.2,92.5,117.2,109.3,106.1,118.8,105.3,106,102,112.9,116.5,114.8,100.5,85.4,114.6,109.9,100.7,115.5,100.7,99,102.3,108.8,105.9,113.2,95.7,80.9,113.9,98.1,102.8,104.7,95.9,94.6,101.6,103.9,110.3,114.1,96.8,87.4,111.4,97.4,102.9,112.7,97,95.1,96.9,98.6,111.7,109.8,89.9,87.4,104.5,98.1,102.7,105.4,97,97.4,92,101.7,112.6,106.9,92.1,86,104.7,102,103.1,106,96.1,96.2,90.7,102.3)
> par5 = '12'
> par4 = '2'
> par3 = '0'
> par2 = '1.3'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1n0xo1228317447.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2p1rh1228317447.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.025027309  0.312657436  0.227404268  0.045500415
 [6]  0.218007245  0.093431359 -0.125264335 -0.004297554 -0.088918792
[11] -0.127888086 -0.166685381 -0.388198432 -0.113590058 -0.271074979
[16] -0.055352459 -0.108054315 -0.103923369  0.004794028 -0.093455263
[21] -0.052749653  0.164742558 -0.147905379  0.200989620 -0.019435403
[26] -0.022125090  0.202795498  0.008678946 -0.023433796  0.026897985
[31] -0.052945988  0.096179232  0.077293872 -0.067420885  0.076246335
[36] -0.021757993  0.076226613
> (mypacf <- c(rpacf$acf))
 [1]  0.02502731  0.31222664  0.23749482 -0.05150784  0.08754722  0.06433013
 [7] -0.25168065 -0.15852516 -0.01278991 -0.05928654 -0.18455965 -0.34822916
[13]  0.03468614 -0.02083441  0.11314880  0.09991311  0.12458422  0.07408530
[19] -0.19943978 -0.21469024  0.17347236 -0.17960396 -0.06816175 -0.15794547
[25] -0.06669284  0.08264972  0.15942392  0.02571715 -0.02075134 -0.01537016
[31]  0.04002162  0.01166779 -0.02895692 -0.02792249  0.04152672 -0.14014891
> 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/3o93f1228317447.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/4wg4n1228317447.tab") 
> 
> system("convert tmp/1n0xo1228317447.ps tmp/1n0xo1228317447.png")
> system("convert tmp/2p1rh1228317447.ps tmp/2p1rh1228317447.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.545   0.325   0.657