R version 2.7.0 (2008-04-22)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(87,96.3,107.1,115.2,106.1,89.5,91.3,97.6,100.7,104.6,94.7,101.8,102.5,105.3,110.3,109.8,117.3,118.8,131.3,125.9,133.1,147,145.8,164.4,149.8,137.7,151.7,156.8,180,180.4,170.4,191.6,199.5,218.2,217.5,205,194,199.3,219.3,211.1,215.2,240.2,242.2,240.7,255.4,253,218.2,203.7,205.6,215.6)
> par5 = '12'
> par4 = '0'
> par3 = '0'
> par2 = '1'
> par1 = '48'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1jao91229341339.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2xvdf1229341339.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.943293966  0.889374247  0.851396220  0.813445177
 [6]  0.760624211  0.688606131  0.624421594  0.559728745  0.501835355
[11]  0.460211057  0.397814805  0.325988854  0.255935830  0.192836915
[16]  0.131642987  0.060855638 -0.005400132 -0.066513465 -0.114132140
[21] -0.152613185 -0.198093089 -0.241799490 -0.280300293 -0.302017464
[26] -0.325027377 -0.361286872 -0.397633707 -0.423998723 -0.433438703
[31] -0.436710082 -0.446686603 -0.451417081 -0.446799660 -0.427916492
[36] -0.404119979 -0.387630550 -0.375310966 -0.358853752 -0.331966810
[41] -0.304564729 -0.279354072 -0.244595674 -0.213012898 -0.179236027
[46] -0.131688886 -0.088195628 -0.066847153 -0.050832844
> (mypacf <- c(rpacf$acf))
 [1]  0.943293966 -0.003895393  0.116714692 -0.013992330 -0.137983404
 [6] -0.214837586 -0.016899542 -0.091997325  0.049877262  0.166288874
[11] -0.176726735 -0.123576019 -0.106988136 -0.093081168 -0.043669357
[16] -0.035669982  0.003524787  0.006234903  0.089757158 -0.001176279
[21] -0.093508550 -0.049991542 -0.052514055  0.069561815 -0.032167009
[26] -0.099094119 -0.080587360 -0.004766564  0.055362348  0.048012681
[31] -0.027462439  0.010823414  0.021658023  0.011774145  0.002196122
[36] -0.032270043 -0.038739184  0.019194737  0.020041949 -0.031045841
[41]  0.029140365  0.127220378 -0.045278412 -0.045199773  0.087315961
[46] -0.041826239 -0.176131519 -0.044512119
> 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/31l761229341339.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/4peao1229341340.tab") 
> 
> system("convert tmp/1jao91229341339.ps tmp/1jao91229341339.png")
> system("convert tmp/2xvdf1229341339.ps tmp/2xvdf1229341339.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.531   0.561   1.612