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(17,14,15,16,16,15,13,12,13,13,12,10,14,14,15,16,16,15,15,13,15,15,15,13,16,16,14,16,15,14,15,15,14,13,12,13,12,9,10,8,11,8,8,8,4,6,8,10,5,6,5,9,8,6,9,11,11,8,11,11,13)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/17qix1259927818.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2yia21259927818.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000 -0.41065004  0.17376937 -0.24133020  0.07557673  0.28010317
 [7] -0.12435362  0.12502881 -0.21148257  0.28502871 -0.17805353  0.29669117
[13] -0.32200409  0.08503573 -0.06940603  0.04853512  0.13917784 -0.21795768
[19]  0.12889333 -0.28043388  0.20387128 -0.13197868  0.05793648 -0.11718954
[25] -0.07867837  0.09548308 -0.07387058  0.01502841 -0.11590303  0.06823978
[31] -0.10153478  0.06060094 -0.06275429  0.12313225 -0.06774748 -0.04901865
[37]  0.02899705
> (mypacf <- c(rpacf$acf))
 [1] -0.410650041  0.006177672 -0.201935205 -0.115733200  0.365856236
 [6]  0.108960205  0.103674911  0.005526445  0.218055726 -0.104682575
[11]  0.214775538 -0.160454776 -0.167131967 -0.198872845 -0.085744441
[16] -0.062359587 -0.022010435  0.025259417 -0.127801392 -0.101192446
[21]  0.011843587 -0.065835766 -0.024696991 -0.086919039  0.000376693
[26] -0.018955652 -0.095910490  0.079303518  0.081797642 -0.021005909
[31] -0.066979587  0.005875876  0.168688124  0.030116423  0.017112206
[36] -0.025150973
> 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/342gt1259927818.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/426x51259927818.tab") 
> system("convert tmp/17qix1259927818.ps tmp/17qix1259927818.png")
> system("convert tmp/2yia21259927818.ps tmp/2yia21259927818.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.526   0.307   0.710