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(6.3,6.2,6.1,6.3,6.5,6.6,6.5,6.2,6.2,5.9,6.1,6.1,6.1,6.1,6.1,6.4,6.7,6.9,7,7,6.8,6.4,5.9,5.5,5.5,5.6,5.8,5.9,6.1,6.1,6,6,5.9,5.5,5.6,5.4,5.2,5.2,5.2,5.5,5.8,5.8,5.5,5.3,5.1,5.2,5.8,5.8,5.5,5,4.9,5.3,6.1,6.5,6.8,6.6,6.4,6.4)
> par7 = '0.95'
> par6 = 'MA'
> par5 = '12'
> par4 = '1'
> par3 = '0'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1af1d1259269443.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2x4gl1259269443.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.857352659  0.621198565  0.378809855  0.212373516
 [6]  0.170217198  0.171478300  0.169603352  0.126522462  0.048295326
[11] -0.054295540 -0.132697595 -0.187485571 -0.186961628 -0.167821296
[16] -0.158763800 -0.162925191 -0.168723324 -0.154005946 -0.132654137
[21] -0.125270867 -0.185443852 -0.282887099 -0.389401152 -0.426947102
[26] -0.369786854 -0.279379483 -0.196706034 -0.147192250 -0.137072745
[31] -0.139997208 -0.119445028 -0.078202418  0.005882877  0.098939023
[36]  0.189558796  0.233575124
> (mypacf <- c(rpacf$acf))
 [1]  0.857352659 -0.429728463 -0.065804253  0.148800461  0.239478438
 [6] -0.151032909 -0.069251903 -0.053467531  0.004144950 -0.158260855
[11]  0.028781109 -0.097591968  0.125822136 -0.130359919 -0.037861835
[16] -0.040950423  0.136076784 -0.019089771 -0.068539460 -0.151685187
[21] -0.228257600 -0.092449938 -0.091401023  0.104624303  0.059399737
[26] -0.140099946 -0.093526595  0.127438371  0.015030283 -0.013347700
[31] -0.002637766  0.012499317  0.042492598 -0.018415126  0.098435432
[36] -0.073691499
> 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/3yhno1259269443.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/4nq021259269443.tab") 
> 
> system("convert tmp/1af1d1259269443.ps tmp/1af1d1259269443.png")
> system("convert tmp/2x4gl1259269443.ps tmp/2x4gl1259269443.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.543   0.304   0.648