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(21.1,21,20.4,19.5,18.6,18.8,23.7,24.8,25,23.6,22.3,21.8,20.8,19.7,18.3,17.4,17,18.1,23.9,25.6,25.3,23.6,21.9,21.4,20.6,20.5,20.2,20.6,19.7,19.3,22.8,23.5,23.8,22.6,22,21.7,20.7,20.2,19.1,19.5,18.7,18.6,22.2,23.2,23.5,21.3,20,18.7,18.9,18.3,18.4,19.9,19.2,18.5,20.9,20.5,19.4,18.1,17,17)
> par5 = '12'
> par4 = '1'
> par3 = '1'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1jy881229858897.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2myu01229858897.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.48504595  0.09349852 -0.47711225 -0.63346908 -0.47998638
 [7] -0.13108797  0.28791910  0.40943646  0.44692487  0.06825280 -0.15656889
[13] -0.43551961 -0.38011447 -0.11481725  0.17813724  0.41634551  0.33549312
[19]  0.08575789 -0.17847203 -0.35055794 -0.32573711 -0.15829134  0.13566531
[25]  0.29250892  0.39403801  0.17950072 -0.05617367 -0.27995653 -0.31183736
[31] -0.15891074  0.01872165  0.20178650  0.19173938  0.12445286 -0.01917528
[37] -0.08358364 -0.18892792 -0.12243176 -0.03841608  0.07477232  0.11754043
[43]  0.10829382  0.03804359 -0.02985401 -0.03581914 -0.03705456
> (mypacf <- c(rpacf$acf))
 [1]  0.485045952 -0.185386962 -0.597130303 -0.288530610 -0.033683261
 [6] -0.119263596  0.024875706 -0.116076604  0.126228596 -0.198279058
[11] -0.041484161 -0.155593492 -0.126462162  0.084539987  0.002999586
[16]  0.004167653 -0.020689315 -0.204998690  0.113048746 -0.104747570
[21] -0.105131317 -0.111854623  0.014218965 -0.020867745  0.076226769
[26] -0.108354457  0.011313423 -0.028278826  0.129507735 -0.032757633
[31] -0.072017092 -0.052053743 -0.025477140 -0.089625699  0.079140044
[36] -0.006794163 -0.113820742 -0.020765913 -0.022514442 -0.104894755
[41] -0.154112369 -0.026093265  0.034580890 -0.061950113  0.046488656
[46]  0.005303658
> 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/329031229858897.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/475z91229858897.tab") 
> 
> system("convert tmp/1jy881229858897.ps tmp/1jy881229858897.png")
> system("convert tmp/2myu01229858897.ps tmp/2myu01229858897.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.583   0.309   0.683