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(258778,252791,256389,258961,258647,256304,250498,247883,249552,262626,264416,273049,272441,267564,265952,263937,264765,263386,258985,257334,257477,271486,274488,281274,272674,269704,268227,276444,272247,268516,263406,263619,265905,281681,287413,289423,281242,273878,269022,272630,270287,260447,262248,252806,238663,258438,266719,263279,258064,248828,248284,253376,251846,239494,239709,228793,229521,249999,254016,251178)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/freestat/rcomp/tmp/1aag81229280814.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/27xcs1229280814.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.83286607  0.62085392  0.46598413  0.36213156  0.33465541
 [7]  0.32243121  0.20713666  0.10936278  0.09716183  0.14993342  0.24548732
[13]  0.29151581  0.14583102 -0.01403551 -0.14389757 -0.24232175 -0.26952286
[19] -0.27016193 -0.33303710 -0.39893226 -0.38653980 -0.29731464 -0.17898574
[25] -0.09798243 -0.13270762 -0.22176326 -0.28079942 -0.29848071 -0.27737422
[31] -0.26244194 -0.27619989 -0.30987656 -0.26672285 -0.17983425 -0.09152060
[37] -0.02040669
> (mypacf <- c(rpacf$acf))
 [1]  0.832866069 -0.237688082  0.082873091  0.014592320  0.170555709
 [6] -0.018654028 -0.315741324  0.136699707  0.174775704  0.143502570
[11]  0.076301692 -0.101498402 -0.453546778  0.039874803 -0.189348183
[16] -0.119833501 -0.004748128  0.073304968  0.042804280 -0.181473416
[21]  0.071241344  0.117676634 -0.040678782 -0.039895138 -0.009408293
[26] -0.120958999  0.102889843 -0.057390153 -0.074407637 -0.081685921
[31]  0.120729517 -0.077662724 -0.010113788 -0.154314048  0.014741419
[36]  0.023364359
> 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/38j541229280814.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/4w16i1229280814.tab") 
> 
> system("convert tmp/1aag81229280814.ps tmp/1aag81229280814.png")
> system("convert tmp/27xcs1229280814.ps tmp/27xcs1229280814.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.772   0.422   0.886