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(66.2,66.2,66.2,66.08,66.31,66.39,66.37,66.23,66.27,66.27,66.27,66.28,66.28,66.28,66.26,66.13,65.86,65.9,65.94,65.94,65.91,65.95,65.91,66.08,66.47,66.47,66.56,66.78,67.08,67.28,67.27,67.27,67.26,67.37,67.5,67.63,67.64,67.64,67.71,67.87,67.93,68.33,68.39,68.39,68.58,68.44,68.49,68.52,68.54,68.54,68.54,68.62,68.75,68.71,68.72,68.72,68.72,68.92,68.9,69.12,69.09,69.09,69.1,69.16,68.83,68.52,68.53,68.53,68.51,68.38,68.44,68.41,68.42,68.42,68.45,68.63,68.84,68.72,68.37,68.37,68.47,68.69,68.46,68.17,68.17)
> par5 = '12'
> par4 = '0'
> par3 = '1'
> par2 = '1'
> par1 = 'Default'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/11pc51229417327.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2an9c1229417327.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.253035605 -0.052141204 -0.022356955  0.165729635
 [6]  0.250470219  0.078651521 -0.056047940 -0.107632009  0.038597507
[11]  0.002272315 -0.021897550 -0.117116045  0.170532490  0.090718967
[16]  0.079024623  0.015229212  0.063629473  0.180363892  0.041738817
> (mypacf <- c(rpacf$acf))
 [1]  0.2530356054 -0.1241149303  0.0259123425  0.1723770383  0.1748627829
 [6] -0.0061474309 -0.0412643776 -0.1059289724  0.0259475518 -0.0946421116
[11]  0.0003510845 -0.0819016828  0.2992592926 -0.0432362760  0.1464740900
[16] -0.0181844619  0.0978963351  0.0290569638 -0.0781229298
> 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/3jcwl1229417327.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/4csjd1229417327.tab") 
> 
> system("convert tmp/11pc51229417327.ps tmp/11pc51229417327.png")
> system("convert tmp/2an9c1229417327.ps tmp/2an9c1229417327.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.523   0.298   0.650