R version 2.6.0 (2007-10-03)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(4.68,4.68,4.67,4.58,4.48,4.46,4.46,4.46,4.45,4.45,4.45,4.45,4.45,4.45,4.45,4.45,4.44,4.44,4.44,4.44,4.44,4.43,4.38,4.23,4.2,4.2,4.2,4.2,4.2,4.19,4.16,4.06,4,3.99,3.95,3.81,3.8,3.8,3.8,3.8,3.79,3.79,3.78,3.69,3.69,3.69,3.69,3.69,3.69,3.69,3.69,3.68,3.63,3.61,3.61,3.61,3.6,3.58,3.52,3.52,3.52,3.52,3.52,3.52,3.52,3.52,3.52,3.51,3.47,3.43,3.42,3.42,3.42,3.42,3.42,3.42,3.42,3.42,3.42,3.42,3.42)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1e2741196274385.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2v08h1196274385.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.96703589  0.93066446  0.89373054  0.86056911  0.83153529
 [7]  0.80282764  0.77352246  0.74332099  0.71129084  0.67751791  0.64279179
[13]  0.60688537  0.56984290  0.53319379  0.49648117  0.45908568  0.42173945
[19]  0.38339734  0.34388152  0.30238105  0.25836244  0.21367465  0.17105422
[25]  0.13786143  0.10663141  0.07517429  0.04255769  0.00818407 -0.02697808
[31] -0.06108534 -0.09421200 -0.12332486 -0.15036376 -0.17763081 -0.20365513
[37] -0.22320651 -0.24285089 -0.26311413 -0.28079758 -0.29901401 -0.31733055
[43] -0.33537626 -0.35292455 -0.36564047 -0.37858402 -0.39173333 -0.40050762
[49] -0.40827682
> (mypacf <- c(rpacf$acf))
 [1]  0.967035893 -0.069306694 -0.024924533  0.039720684  0.040380006
 [6] -0.018130611 -0.023673941 -0.023161159 -0.040886308 -0.043766157
[11] -0.033807118 -0.041430369 -0.043718752 -0.019809153 -0.028503143
[16] -0.039027706 -0.024646927 -0.040208386 -0.045144316 -0.058987802
[21] -0.069124699 -0.045412371 -0.008597957  0.103842770 -0.015536384
[26] -0.034033245 -0.026773891 -0.035874151 -0.038542551 -0.016521118
[31] -0.023741661  0.019557050 -0.009509521 -0.040237597 -0.011427777
[36]  0.075904341 -0.033178919 -0.040674001  0.022289297 -0.031213814
[41] -0.042322875 -0.032928665 -0.033042247  0.025092171 -0.050035077
[46] -0.032439819  0.061526875 -0.011079324
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 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 1:par1) {
+ 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(mytstat,lengthx),6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/3cqvt1196274385.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-1,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(mytstat,lengthx),6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/47cmu1196274385.tab") 
> 
> system("convert tmp/1e2741196274385.ps tmp/1e2741196274385.png")
> system("convert tmp/2v08h1196274385.ps tmp/2v08h1196274385.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.863   0.328   0.975