R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(282965,276610,277838,277051,277026,274960,270073,267063,264916,287182,291109,292223,288109,281400,282579,280113,280331,276759,275139,274275,271234,289725,290649,292223,278429,269749,265784,268957,264099,255121,253276,245980,235295,258479,260916,254586,250566,243345,247028,248464,244962,237003,237008,225477,226762,247857,248256,246892,245021,246186,255688,264242,268270,272969,273886,267353,271916,292633,295804,293222)
> par7 = '0.95'
> par6 = 'MA'
> par5 = '12'
> par4 = '1'
> par3 = '1'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/11thd1259357923.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2wvrz1259357923.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.102081354  0.317994322  0.324885551  0.230165423
 [6]  0.081735769  0.176771287  0.065462249  0.151207363  0.094200037
[11] -0.100779113  0.346576818 -0.189050292  0.009629933  0.056000707
[16]  0.062149445 -0.087583292  0.100729193 -0.158204254 -0.038922198
[21] -0.140162532 -0.235847035 -0.072899407 -0.234965571 -0.156216690
[26] -0.151777448 -0.069699010 -0.228373067 -0.106260465 -0.174911799
[31] -0.076484282 -0.078992975 -0.096489740 -0.011926170 -0.045954733
[36] -0.004224117 -0.051857457
> (mypacf <- c(rpacf$acf))
 [1]  0.102081354  0.310812573  0.302898252  0.141526991 -0.120024591
 [6] -0.030900451 -0.042042922  0.115045677  0.081019610 -0.237319285
[11]  0.311659849 -0.263377878 -0.072909636  0.048380134  0.112475423
[16]  0.044008713 -0.044781252 -0.224734569 -0.147007558 -0.110157708
[21] -0.002984019 -0.083922274  0.050637925  0.008337651 -0.107137408
[26]  0.035261206 -0.030692858 -0.127079821  0.102411037 -0.005659874
[31]  0.109096298 -0.025446369  0.001319255 -0.019187819  0.069821122
[36]  0.053090795
> 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/3z4x21259357923.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/4raor1259357923.tab") 
> system("convert tmp/11thd1259357923.ps tmp/11thd1259357923.png")
> system("convert tmp/2wvrz1259357923.ps tmp/2wvrz1259357923.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.547   0.316   0.665