R version 2.12.0 (2010-10-15)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(7.14,7.24,7.33,7.61,7.66,7.69,7.7,7.68,7.71,7.71,7.72,7.68,7.72,7.74,7.76,7.9,7.97,7.96,7.95,7.97,7.93,7.99,7.96,7.92,7.97,7.98,8,8.04,8.17,8.29,8.26,8.3,8.32,8.28,8.27,8.32,8.31,8.34,8.32,8.36,8.33,8.35,8.34,8.37,8.31,8.33,8.34,8.25,8.27,8.31,8.25,8.3,8.3,8.35,8.78,8.9)
> par8 = ''
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '0'
> par3 = '1'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/rcomp/tmp/1nkje1293186102.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/2nkje1293186102.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.227080731  0.064755308  0.092960145 -0.120290678
 [6] -0.052912456 -0.019484501 -0.150584762 -0.098137845 -0.039389122
[11] -0.085329851  0.008447826  0.067877824  0.094493017  0.016134893
[16] -0.056545929 -0.051277393 -0.062529806 -0.097399796 -0.073339389
[21] -0.067162484 -0.120824344 -0.043056659 -0.002134666 -0.008050414
[26]  0.193709549  0.217145452  0.095355967  0.013591461 -0.043760645
[31]  0.004371523 -0.118894062 -0.114022936  0.021142273 -0.069989781
[36] -0.082491200 -0.023515385 -0.090007948  0.034938117  0.113387078
[41]  0.017599637 -0.066719655 -0.021596457 -0.105972522 -0.133689111
[46] -0.070001135 -0.035608039 -0.125036902 -0.040513228
> (mypacf <- c(rpacf$acf))
 [1]  0.227080731  0.013906761  0.079411470 -0.168513907  0.007224047
 [6] -0.009898663 -0.125262229 -0.055386537 -0.005200470 -0.052473134
[11]  0.018551783  0.046793572  0.082675513 -0.069133815 -0.085967382
[16] -0.030512499 -0.034352406 -0.082389117 -0.040979875 -0.022473539
[21] -0.100165166 -0.026785221 -0.001048992 -0.027538723  0.150069234
[26]  0.120240826  0.017387435 -0.091054015 -0.050841217  0.068696492
[31] -0.152357965 -0.054359074  0.120109553 -0.032935822 -0.099219678
[36] -0.045694484 -0.067306881 -0.020195081  0.013368390  0.040804151
[41] -0.110782353 -0.034006629 -0.071888525 -0.092228060 -0.081604863
[46]  0.027644145 -0.111286123 -0.040721583
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 
> #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/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/rcomp/tmp/31uy51293186102.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/rcomp/tmp/4b3g71293186102.tab") 
> 
> try(system("convert tmp/1nkje1293186102.ps tmp/1nkje1293186102.png",intern=TRUE))
character(0)
> try(system("convert tmp/2nkje1293186102.ps tmp/2nkje1293186102.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.660   0.420   1.062