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(104.0,107.9,113.8,113.8,123.1,125.1,137.6,134.0,140.3,152.1,150.6,167.3,153.2,142.0,154.4,158.5,180.9,181.3,172.4,192.0,199.3,215.4,214.3,201.5,190.5,196.0,215.7,209.4,214.1,237.8,239.0,237.8,251.5,248.8,215.4,201.2,203.1,214.2,188.9,203.0,213.3,228.5,228.2,240.9,258.8,248.5,269.2,289.6,323.4,317.2,322.8,340.9,368.2,388.5,441.2,474.3,483.9,417.9,365.9,263.0)
> par5 = '12'
> par4 = '1'
> par3 = '1'
> par2 = '-0.2'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1h07s1228565202.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2ko081228565202.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.0000000000  0.1097842795 -0.0337510809  0.0628029355  0.0974756901
 [6]  0.0087631163 -0.0417323077  0.0988761128 -0.0899935902 -0.2631994558
[11]  0.1496629711 -0.0073145091 -0.3866406888 -0.2397001367 -0.0138670213
[16]  0.0357496548 -0.1521756751  0.0001491716  0.0561026625 -0.1788786741
[21]  0.0244651592  0.1887337168 -0.0304772298 -0.1007315942  0.0231063410
[26]  0.1843815253  0.0312320878  0.0087898304  0.0429425537 -0.0551941917
[31] -0.0495334017  0.1224680664  0.0010924362 -0.0706468555 -0.0962686831
[36]  0.0404345810  0.1009140663
> (mypacf <- c(rpacf$acf))
 [1]  0.109784280 -0.046362456  0.072801984  0.081796670 -0.006032996
 [6] -0.039383368  0.099569071 -0.128779077 -0.236681445  0.215626594
[11] -0.084996601 -0.391706333 -0.118209964  0.004930164  0.033283433
[16] -0.066811850 -0.017699237  0.010080256 -0.074819844 -0.011725187
[21]  0.012673925 -0.050492717 -0.035076317 -0.109490840 -0.043699842
[26]  0.047978067  0.046817731 -0.152146716 -0.052811217  0.027633419
[31]  0.009742863 -0.129131143  0.011635315 -0.027699383 -0.080036924
[36]  0.070331514
> 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/3xraz1228565202.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/48wts1228565202.tab") 
> 
> system("convert tmp/1h07s1228565202.ps tmp/1h07s1228565202.png")
> system("convert tmp/2ko081228565202.ps tmp/2ko081228565202.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.546   0.311   0.830