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(7.4,7.2,7.1,6.9,6.8,6.8,6.8,6.9,6.7,6.6,6.5,6.4,6.3,6.3,6.3,6.5,6.6,6.5,6.4,6.5,6.7,7.1,7.1,7.2,7.2,7.3,7.3,7.3,7.3,7.4,7.6,7.6,7.6,7.7,7.8,7.9,8.1,8.1,8.1,8.2,8.2,8.2,8.2,8.2,8.2,8.3,8.3,8.4,8.4,8.4,8.3,8,8,8.2,8.6,8.7,8.7,8.5,8.4,8.4,8.4,8.5,8.5,8.5,8.5,8.5,8.4,8.4,8.4,8.5,8.6,8.6,8.6,8.6,8.5,8.4,8.4,8.3,8.2,8.1,8.2,8.1,8,7.9,7.8,7.7,7.7,7.9,7.8,7.6,7.4,7.3,7.1,7.1,7,7,7,6.9,6.8,6.7,6.6,6.6)
> par5 = '12'
> par4 = '0'
> par3 = '1'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1iqo21228578568.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/24khl1228578568.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.433282855  0.135918457 -0.124470303 -0.036005093
 [6]  0.110121932  0.255672338  0.269609655  0.242174621  0.257265174
[11]  0.091513865  0.019823389 -0.138648116 -0.028343493  0.146902747
[16]  0.210068837  0.129368703  0.050398423  0.007827163 -0.028617529
[21] -0.043799428 -0.118372995 -0.097155874  0.004715709  0.078044694
[26]  0.027040393  0.063393740 -0.081671393 -0.117539468 -0.147280974
[31] -0.199438511 -0.046608301  0.076526076  0.235482853  0.125663503
[36] -0.107912514 -0.319649119
> (mypacf <- c(rpacf$acf))
 [1]  0.43328286 -0.06379139 -0.19713998  0.13059218  0.14169413  0.14073668
 [7]  0.10889487  0.13115779  0.21676246 -0.07542483 -0.01430295 -0.17140817
[13]  0.01120673  0.10456176 -0.07213338 -0.05539856  0.04788057  0.04410240
[19] -0.03457013 -0.08194073 -0.09477461 -0.07427195  0.01109122 -0.02575691
[25] -0.07469270  0.21458601 -0.06795676 -0.06436447 -0.02184321 -0.15978655
[31]  0.13911196  0.03495022  0.17454970  0.02571796 -0.17464750 -0.03219965
> 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/388kb1228578569.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/4ir2h1228578569.tab") 
> 
> system("convert tmp/1iqo21228578568.ps tmp/1iqo21228578568.png")
> system("convert tmp/24khl1228578568.ps tmp/24khl1228578568.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.594   0.349   0.737