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(99.5,93.5,104.6,95.3,102.8,103.3,100.2,107.9,107.5,119.8,112,102.1,105.3,101.3,108.4,107.4,109.1,109.5,111.4,110.1,117,129.6,113.5,113.3,110.1,107.4,110.1,112.5,106,117.6,117.8,113.5,121.2,130.4,115.2,117.9,110.7,107.6,124.3,115.1,112.5,127.9,117.4,119.3,130.4,126,125.4,130.5,115.9,108.7,124,119.4,118.6,131.3,111.1,124.8,132.3,126.7,131.7,130.9,122.1,113.2,133.6,119.2,129.4,131.4,117.1,130.5,132.3,140.8,137.5,128.6,126.7,120.8,139.3,128.6,131.3,136.3,128.8,133.2,136.3,151.1,145,134.4)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1cl0n1229016038.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2rqx71229016038.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.701961091  0.614695434  0.598541122  0.434510186
 [6]  0.491770205  0.500580786  0.400604614  0.355457653  0.433822942
[11]  0.370498112  0.465056136  0.588585506  0.372154135  0.346190339
[16]  0.277169321  0.152633945  0.227018153  0.213136947  0.126905110
[21]  0.118461910  0.162319019  0.147154091  0.251009891  0.281755038
[26]  0.158883763  0.147017305  0.055488516 -0.028337706  0.019400506
[31] -0.009565743 -0.041951596 -0.048579387 -0.064396989 -0.027417926
[36]  0.037423642  0.063186654
> (mypacf <- c(rpacf$acf))
 [1]  0.701961091  0.240405934  0.213474082 -0.178835883  0.266837315
 [6]  0.106477630 -0.069185618 -0.145766583  0.340986318 -0.046893256
[11]  0.258470351  0.194031118 -0.348998136 -0.180804372 -0.118081875
[16] -0.015626245  0.021022597  0.022659762  0.009653772 -0.027221393
[21]  0.079449099  0.119246706 -0.012647544 -0.093097194  0.025763746
[26] -0.066895040 -0.074725344 -0.093881851 -0.005375104 -0.011618734
[31]  0.102246558 -0.047993699 -0.101610398  0.056690651 -0.024744420
[36]  0.082432267
> 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/3egfy1229016038.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/48q3t1229016038.tab") 
> 
> system("convert tmp/1cl0n1229016038.ps tmp/1cl0n1229016038.png")
> system("convert tmp/2rqx71229016038.ps tmp/2rqx71229016038.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.558   0.350   0.782