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(103.3,107.9,101,94.6,94.2,92.3,107.1,102.6,103.1,104.1,92.7,87,109.3,113.9,103.3,100.8,97.4,98.9,110.8,103.5,99.8,104.9,95.2,85.7,110,113.7,101.1,103.6,96.2,98.3,119.7,109.4,103.5,118.2,98.7,96.8,121.8,124,119.6,122.5,109.7,111.6,131.2,124.4,116.9,131.8,107.4,111,134,126.2,131.2,130.1,123.1,126.3,148.6,130.1,142.3,154.4,121.6,124.8,143.6,146.9,144.6,137.1,134.7,130.8,153.5,137.6,146.5,156.7,137.6,131.4,147.4,158.5,151.5,142.5,131.3,133.4,136.9,143.2,136.4,145.9,138.8,122.9)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/freestat/rcomp/tmp/1awe81230131462.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/2xlls1230131462.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.801356798  0.699660059  0.753578589  0.687625030
 [6]  0.723547343  0.799887545  0.684366699  0.617777691  0.625531783
[11]  0.500571066  0.554067284  0.672037829  0.514341942  0.419332534
[16]  0.435377635  0.359171734  0.383864198  0.435999353  0.322515701
[21]  0.264615364  0.241452917  0.124416107  0.171162269  0.235445819
[26]  0.115958489  0.042185652  0.025482618 -0.052758149 -0.032919066
[31] -0.005995297 -0.078390874 -0.117144894 -0.163917686 -0.240005757
[36] -0.201984571 -0.150521299
> (mypacf <- c(rpacf$acf))
 [1]  0.801356798  0.160656672  0.442450430 -0.087119351  0.428376775
 [6]  0.204413961 -0.162326783 -0.092647605 -0.121109267 -0.401165618
[11]  0.278223367  0.211293388 -0.289042733 -0.163173170  0.013026365
[16]  0.067677276  0.014587165 -0.077876033 -0.017285041 -0.098633020
[21] -0.119029708 -0.001509393  0.054617208 -0.168081775  0.033977751
[26] -0.029172926  0.012118756 -0.064843102 -0.020584179 -0.077456594
[31]  0.138273481 -0.114700194  0.003713223  0.033963693 -0.040744564
[36]  0.063729572
> 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/3o7hh1230131462.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/4hci51230131462.tab") 
> 
> system("convert tmp/1awe81230131462.ps tmp/1awe81230131462.png")
> system("convert tmp/2xlls1230131462.ps tmp/2xlls1230131462.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.748   0.421   0.902