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(7.0,6.9,6.7,6.6,6.5,6.4,6.5,6.5,6.6,6.7,6.8,7.2,7.6,7.6,7.3,6.4,6.1,6.3,7.1,7.5,7.4,7.1,6.8,6.9,7.2,7.4,7.3,6.9,6.9,6.8,7.1,7.2,7.1,7.0,6.9,7.0,7.4,7.5,7.5,7.4,7.3,7.0,6.7,6.5,6.5,6.5,6.6,6.8,6.9,6.9,6.8,6.8,6.5,6.1,6.0,5.9,5.8,5.9,5.9,6.2,6.3,6.2,6.0,5.8,5.5,5.5,5.7,5.8)
> par5 = '12'
> par4 = '0'
> par3 = '0'
> par2 = '1'
> par1 = '48'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1fq5g1229009225.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2sco21229009225.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.87648729  0.64801621  0.43614938  0.33780157  0.35194610
 [7]  0.38968964  0.39124803  0.36216093  0.34060780  0.35372564  0.37788590
[13]  0.34978856  0.24179433  0.09963877 -0.02642957 -0.07561461 -0.06201666
[19] -0.03688142 -0.03742811 -0.06864244 -0.10586917 -0.13452047 -0.15058564
[25] -0.16113329 -0.17873479 -0.19536131 -0.21099808 -0.22060029 -0.23272121
[31] -0.24685118 -0.26652822 -0.28068035 -0.28575480 -0.26921713 -0.22455269
[37] -0.17437811 -0.13830386 -0.12734279 -0.14599314 -0.16665255 -0.19584305
[43] -0.21700472 -0.23162218 -0.23767162 -0.21707891 -0.16734750 -0.09253245
[49] -0.02629282
> (mypacf <- c(rpacf$acf))
 [1]  0.876487294 -0.518676943  0.166381903  0.324170776  0.104020110
 [6] -0.163399947  0.034981751  0.202891605  0.104129875  0.007982778
[11] -0.055203708 -0.186753017 -0.148664351  0.034204538 -0.160070436
[16] -0.001297654 -0.053236452 -0.064242092 -0.027990291  0.012724512
[21] -0.027662066 -0.105746687  0.051580934  0.113560674 -0.020377536
[26]  0.032841045 -0.036712291 -0.058223709 -0.051294465  0.003285212
[31] -0.091893633 -0.029371175 -0.022305497  0.082538820  0.082412216
[36] -0.042431014 -0.044153094  0.015429599 -0.000957612  0.052580752
[41] -0.186564173 -0.012715105 -0.036518463 -0.057116559  0.056900342
[46] -0.004335520  0.051852076 -0.047536692
> 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/3ma491229009225.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/4wm381229009225.tab") 
> 
> system("convert tmp/1fq5g1229009225.ps tmp/1fq5g1229009225.png")
> system("convert tmp/2sco21229009225.ps tmp/2sco21229009225.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.596   0.332   0.709