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(1,-1,3,4,3,2,1,4,3,5,6,6,6,6,6,5,6,5,6,5,7,4,5,6,6,5,3,2,3,3,2,0,4,4,5,6,6,5,5,3,5,5,5,3,6,6,4,6,5,4,5,5,4,3,2,3,2,-1,0,-2,1,-2,-2,-2,-6,-4,-2,0,-5,-4,-5,-1)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1yzul1242327123.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/299ov1242327123.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.830563145  0.741727383  0.664048270  0.635549484
 [6]  0.593844869  0.514571949  0.430517608  0.324377656  0.266734973
[11]  0.201806315  0.162606254  0.109061931  0.032976624 -0.034001214
[16] -0.061133880 -0.084623558 -0.146819976 -0.149817851 -0.177861263
[21] -0.153992107 -0.137636612 -0.112401336 -0.130881906 -0.114298725
[26] -0.056959624 -0.046751670 -0.040642077 -0.054796600 -0.061665149
[31] -0.028005464 -0.009145416 -0.034911961 -0.037909836 -0.059122647
[36] -0.061437462 -0.072404372 -0.038289314 -0.039238009 -0.089139344
[41] -0.122191864 -0.173914693 -0.178278689 -0.215657256 -0.267607772
[46] -0.300887978 -0.320734669 -0.303696114 -0.296903461
> (mypacf <- c(rpacf$acf))
 [1]  8.305631e-01  1.673054e-01  4.016107e-02  1.458573e-01  2.142471e-02
 [6] -1.263171e-01 -9.344236e-02 -1.703604e-01 -3.694716e-05 -4.680358e-02
[11]  3.873918e-02  2.911776e-03 -9.447376e-02 -6.179634e-02  5.809935e-02
[16] -2.455252e-02 -1.419674e-01  1.339947e-01 -2.196417e-02  1.098724e-01
[21]  7.261765e-02  4.836828e-02 -1.245606e-01  4.782013e-02  1.175841e-01
[26] -1.062943e-01 -1.056403e-01 -1.938765e-02 -5.513336e-02  8.824963e-02
[31] -1.521846e-02 -1.391012e-01  5.873088e-02 -7.700828e-02  4.202365e-02
[36] -7.172577e-02  1.353981e-01  2.495065e-02 -1.011649e-01 -9.600546e-02
[41] -1.381332e-01 -2.102178e-02 -1.229199e-01 -8.693006e-02  3.891638e-02
[46] -3.898882e-02  1.438419e-01  1.100074e-01
> 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/3gqvd1242327124.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/46g7g1242327124.tab") 
> 
> system("convert tmp/1yzul1242327123.ps tmp/1yzul1242327123.png")
> system("convert tmp/299ov1242327123.ps tmp/299ov1242327123.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.524   0.347   0.687