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(5.5,5.3,5.2,5.3,5.3,5,4.8,4.9,5.3,6,6.2,6.4,6.4,6.4,6.2,6.1,6,5.9,6.2,6.2,6.4,6.8,6.9,7,7,6.9,6.7,6.6,6.5,6.4,6.5,6.5,6.6,6.7,6.8,7.2,7.6,7.6,7.3,6.4,6.1,6.3,7.1,7.5,7.4,7.1,6.8,6.9,7.2,7.4,7.3,6.9,6.9,6.8,7.1,7.2,7.1,7,6.9,7,7.4,7.5,7.5,7.4,7.3,7,6.7,6.5,6.5,6.5,6.6,6.8,6.9,6.9,6.8,6.8,6.5,6.1,6,5.9,5.8,5.9,5.9,6.2,6.3,6.2,6,5.8,5.5,5.5,5.7,5.8)
> par5 = '12'
> par4 = '0'
> par3 = '2'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/freestat/rcomp/tmp/1y88y1228842753.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/2e7vy1228842753.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.063646525 -0.143100965 -0.417688786 -0.328956815
 [6]  0.121869693  0.241942349  0.145274177 -0.117770469 -0.206893661
[11] -0.075406806  0.044536876  0.371483846 -0.021373143  0.023378689
[16] -0.104372219 -0.183886847  0.007959846  0.038653511  0.071604222
[21] -0.005717848 -0.058083446  0.015494078 -0.040676254  0.075462694
[26] -0.038681456  0.038765289  0.114083962 -0.071640764  0.063844285
[31] -0.170374670 -0.033148471 -0.038760990  0.127742310  0.106652909
[36] -0.081006427 -0.065918617
> (mypacf <- c(rpacf$acf))
 [1]  0.063646525 -0.147750364 -0.408364199 -0.387472273 -0.039728294
 [6] -0.032685645 -0.148752113 -0.249551245 -0.202956474 -0.148054030
[11] -0.255347919  0.097953705 -0.223946142  0.022636241  0.141271435
[16] -0.011868945 -0.014133885  0.075429875  0.085460423 -0.008713712
[21] -0.011485292  0.107103677 -0.028266967 -0.104346287 -0.081099880
[26] -0.115547370  0.061613916 -0.082141938  0.081833391 -0.114384004
[31]  0.053996936 -0.054159203  0.124797784  0.035879386 -0.021755809
[36] -0.006473357
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 
> #Note: the /var/www/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/freestat/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/freestat/rcomp/tmp/3bl4d1228842753.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/freestat/rcomp/tmp/4tfno1228842754.tab") 
> 
> system("convert tmp/1y88y1228842753.ps tmp/1y88y1228842753.png")
> system("convert tmp/2e7vy1228842753.ps tmp/2e7vy1228842753.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.776   0.431   0.907