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(97.8,107.4,117.5,105.6,97.4,99.5,98.0,104.3,100.6,101.1,103.9,96.9,95.5,108.4,117.0,103.8,100.8,110.6,104.0,112.6,107.3,98.9,109.8,104.9,102.2,123.9,124.9,112.7,121.9,100.6,104.3,120.4,107.5,102.9,125.6,107.5,108.8,128.4,121.1,119.5,128.7,108.7,105.5,119.8,111.3,110.6,120.1,97.5,107.7,127.3,117.2,119.8,116.2,111.0,112.4,130.6,109.1,118.8,123.9,101.6,112.8,128.0,129.6,125.8,119.5,115.7,113.6,129.7,112.0,116.8,127.0,112.1,114.2,121.1,131.6,125.0,120.4,117.7,117.5,120.6,127.5,112.3,124.5,115.2,105.4)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/freestat/rcomp/tmp/11lak1228766764.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/2vplc1228766764.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.359538490  0.198261114  0.486407299  0.174528059
 [6]  0.269103182  0.533942413  0.165068553  0.161807683  0.364799669
[11]  0.026420065  0.223417704  0.604233656  0.151393110  0.062669427
[16]  0.237414780 -0.043026094  0.113437698  0.283185019 -0.039347787
[21]  0.010017323  0.119472850 -0.150361735  0.082730738  0.278179177
[26]  0.005686164 -0.017911913  0.053852582 -0.158960787  0.012591053
[31]  0.082977570 -0.099444262 -0.052246916 -0.066604045 -0.188083318
[36]  0.007820068  0.147499749
> (mypacf <- c(rpacf$acf))
 [1]  0.359538490  0.079235841  0.453369127 -0.171628835  0.309026344
 [6]  0.247102002 -0.113711359  0.004331061  0.049101401 -0.191573412
[11]  0.224567321  0.399172594 -0.140108712 -0.234494986 -0.142819544
[16] -0.078856991 -0.014837571 -0.069025656  0.039188101 -0.031493606
[21] -0.024223313  0.007363325  0.099569578 -0.071320917  0.123063981
[26] -0.062041356  0.045900632 -0.114518352  0.015588055 -0.136171797
[31]  0.150166049 -0.100637614 -0.014400815 -0.005736205  0.073677126
[36]  0.104162155
> 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/36og31228766765.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/4zm2u1228766765.tab") 
> 
> system("convert tmp/11lak1228766764.ps tmp/11lak1228766764.png")
> system("convert tmp/2vplc1228766764.ps tmp/2vplc1228766764.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.787   0.446   0.928