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(2.085,2.053,2.077,2.058,2.057,2.076,2.07,2.062,2.073,2.061,2.094,2.067,2.086,2.276,2.326,2.349,2.52,2.628,2.577,2.698,2.814,2.968,3.041,3.278,3.328,3.5,3.563,3.569,3.69,3.819,3.79,3.956,4.063,4.047,4.029,3.941,4.022,3.879,4.022,4.028,4.091,3.987,4.01,4.007,4.191,4.299,4.273,3.82,3.15,2.486,1.812,1.257,1.062,0.842,0.782,0.698,0.358,0.347,0.363,0.359,0.355)
> par7 = '0.95'
> par6 = 'MA'
> par5 = '12'
> par4 = '0'
> par3 = '2'
> par2 = '1.0'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1qm731259763893.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2oxen1259763893.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.226212403  0.126666221 -0.072595203 -0.105093366
 [6] -0.263081104  0.126063689 -0.073086955  0.131280165 -0.027550439
[11] -0.064133928 -0.081059533 -0.066660077  0.144401742 -0.100126564
[16]  0.197696370 -0.080379834  0.026731501 -0.144539197  0.161962708
[21] -0.188932032  0.170020321 -0.129203183  0.174045708 -0.086855774
[26] -0.069292398  0.083452860 -0.054940100 -0.127346961  0.136069720
[31] -0.009569534 -0.042269707  0.073578546 -0.025564297 -0.014651994
[36] -0.067544456  0.053149150
> (mypacf <- c(rpacf$acf))
 [1] -0.226212403  0.079565710 -0.029934431 -0.144479338 -0.329821655
 [6]  0.018417793  0.003676882  0.058733887 -0.077154068 -0.197332662
[11] -0.116077959 -0.101502979  0.195567848 -0.118162735  0.021091425
[16] -0.115867864 -0.016589019 -0.053029402  0.120827973 -0.078548617
[21] -0.054044519 -0.130941916  0.125051793  0.104935424 -0.192235723
[26]  0.053605990 -0.086362140 -0.144154218  0.085271470  0.055653448
[31] -0.042327099 -0.178180475  0.065336278 -0.031952216 -0.028634254
[36] -0.060077940
> 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/3092z1259763893.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/4w23q1259763893.tab") 
> system("convert tmp/1qm731259763893.ps tmp/1qm731259763893.png")
> system("convert tmp/2oxen1259763893.ps tmp/2oxen1259763893.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.546   0.318   0.852