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 = '0'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/13fe21259357558.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2u7b91259357558.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.12032191 -0.16282722 -0.13756631 -0.12920818  0.13164744
 [7]  0.24019576  0.12876127 -0.18367739 -0.17182714 -0.21255884  0.13416445
[13]  0.65168705 -0.02111702 -0.17695090 -0.16921238 -0.16268701  0.07738422
[19]  0.13707128  0.04192080 -0.23595353 -0.21117880 -0.18956207  0.09374998
[25]  0.43241946 -0.07555532 -0.16778955 -0.11851088 -0.09839309  0.05486903
[31]  0.09423651  0.03155222 -0.19342677 -0.13440578 -0.08139460  0.09071544
[37]  0.24854672
> (mypacf <- c(rpacf$acf))
 [1]  0.120321906 -0.179909196 -0.097316019 -0.134896051  0.132866101
 [6]  0.167078484  0.111448770 -0.155955141 -0.047821393 -0.223623021
[11]  0.130352844  0.573355359 -0.205630851 -0.041699212 -0.056477177
[16] -0.104582270 -0.050511522 -0.163405220 -0.058987113 -0.065009085
[21] -0.059380920  0.032456422 -0.106833745  0.033158302 -0.012965889
[26] -0.058681166  0.091620870  0.005895172 -0.065518577 -0.031791017
[31] -0.025890448  0.028782139  0.015534280  0.033976149 -0.040923519
[36] -0.154918485
> 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/3ebu01259357558.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/4p9uf1259357558.tab") 
> system("convert tmp/13fe21259357558.ps tmp/13fe21259357558.png")
> system("convert tmp/2u7b91259357558.ps tmp/2u7b91259357558.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.546   0.332   0.685