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(4.2,4,4.9,4.6,4.3,4.3,4.6,5.1,4.8,4.5,4.9,5.1,5.1,5.2,4.5,4.6,4.9,4.6,4.4,3.7,4,4.2,3.9,3.6,3.6,3.2,3.2,3.5,3.6,3.7,3.8,3.8,3.8,3.3,3.3,3.4,3.1,3.5,4.2,4.9,5.1,5.5,5.6,6.4,6.2,7.2,7.8,7.9,7.4,7.5,6.7,5.1,4.6,4.3,3.9,2.6,2.6,1.6,0.9,0.3)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1h7of1259421387.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2kotb1259421387.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.856024675  0.694558586  0.539656564  0.403525117
 [6]  0.229289081  0.089334297 -0.046531528 -0.172508995 -0.297878752
[11] -0.368594903 -0.389438633 -0.403480847 -0.376448341 -0.327035223
[16] -0.285820146 -0.273899885 -0.243305638 -0.224608007 -0.202010573
[21] -0.188798426 -0.152549663 -0.110670533 -0.085903857 -0.071327382
[26] -0.035823165 -0.014823483  0.002682876  0.040605858  0.087527770
[31]  0.119494394  0.139318903  0.155907660  0.166540061  0.156884624
[36]  0.125065902  0.103642635
> (mypacf <- c(rpacf$acf))
 [1]  8.560247e-01 -1.430260e-01 -6.688068e-02 -3.148566e-02 -2.513345e-01
 [6]  1.718334e-02 -1.335440e-01 -1.194656e-01 -1.174998e-01  1.198119e-02
[11]  5.797079e-02 -1.051606e-01  1.019355e-01 -3.214264e-02 -1.047836e-01
[16] -1.233066e-01 -4.291303e-02 -1.293695e-01 -4.446505e-02 -4.788522e-02
[21] -1.888934e-04  3.817284e-02 -7.107189e-02 -4.387669e-02  2.455384e-03
[26] -1.074720e-01 -3.957816e-02  1.187701e-02 -5.985324e-05 -2.066254e-02
[31]  2.218200e-03 -1.501068e-02 -1.673439e-02 -4.907027e-02 -1.110638e-01
[36] -3.497480e-02
> 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/3pgj21259421387.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/4ys7r1259421387.tab") 
> 
> system("convert tmp/1h7of1259421387.ps tmp/1h7of1259421387.png")
> system("convert tmp/2kotb1259421387.ps tmp/2kotb1259421387.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.538   0.312   0.660