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(121148,114624,109822,112081,113534,112110,109826,107423,105540,108573,128591,139145,129700,132828,126868,128390,126830,124105,122323,119296,116822,119224,139357,144322,133676,128283,121640,122877,117284,116463,112685,113235,111692,113152,129889,131153,123770,112516,105940,104320,103582,99064,94989,92241,89752,90610,109456,110213,97694,91844,87572,89812,89050,85990,85070,83277,79586,84215,99708,100698,90861,86700)
> par5 = '12'
> par4 = '1'
> par3 = '1'
> par2 = '1'
> par1 = '60'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/13cnj1229366129.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2i6kl1229366129.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.116475367  0.205067439 -0.075308173  0.115583949
 [6]  0.089523666 -0.074652831  0.065770361 -0.091042759  0.206945965
[11] -0.052470748  0.143207102 -0.278245526  0.013854204  0.078507569
[16] -0.136949025 -0.025348625 -0.102220278  0.169575656  0.021488752
[21]  0.038433141 -0.045092814 -0.085735569  0.092104382 -0.197245396
[26]  0.009538173 -0.213846047  0.024888103 -0.086957678 -0.077217540
[31] -0.099811886 -0.022158128 -0.081298600  0.056793960 -0.075600134
[36] -0.145506363  0.055425931 -0.005114111  0.037194652  0.001596983
[41]  0.015544073  0.047988299  0.040972424 -0.028066508  0.064401582
[46] -0.074526531  0.003137889  0.054709438  0.038636947
> (mypacf <- c(rpacf$acf))
 [1] -0.116475367  0.194134658 -0.035235921  0.069397066  0.134331518
 [6] -0.099446337  0.021538024 -0.050648799  0.158228398  0.014463879
[11]  0.083801084 -0.265151452 -0.093626555  0.161521232 -0.142789189
[16] -0.083154420  0.058530175  0.101608225  0.081983430 -0.014974323
[21]  0.012477109 -0.119712483  0.092194741 -0.234704754 -0.105667355
[26]  0.002919753 -0.113037089 -0.145701419 -0.068085066 -0.040000374
[31]  0.112462969 -0.141417385  0.199309656 -0.061558617 -0.064217073
[36]  0.001425799 -0.028642072  0.009138636  0.025715151 -0.045472728
[41] -0.034844498  0.004078321  0.066463990 -0.042518683  0.052577766
[46] -0.051371982  0.033457479  0.099693407
> 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/3ygh41229366129.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/4gzpe1229366129.tab") 
> 
> system("convert tmp/13cnj1229366129.ps tmp/13cnj1229366129.png")
> system("convert tmp/2i6kl1229366129.ps tmp/2i6kl1229366129.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.599   0.312   0.689