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(75,38,20,6,11,38,54,44,37,39,4,49,45,29,20,9,16,3,56,53,35,49,11,54,47,31,21,14,9,16,61,57,40,42,7,43,56,29,34,14,25,39,53,39,32,40,1,47,39,39,20,7,43,43,21,39,35,38,12,37,34)
> par5 = '12'
> par4 = '1'
> par3 = '0'
> par2 = '1'
> par1 = '60'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/freestat/rcomp/tmp/1w6341228829858.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/2p8m11228829858.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.009966162 -0.130082235  0.027550312 -0.057121004
 [6]  0.101675842  0.027872320 -0.110932861  0.015969435  0.033222530
[11] -0.141446675  0.261720212 -0.055207612 -0.138645255 -0.122782683
[16]  0.012287804  0.025767484  0.045493959 -0.005515246 -0.088289298
[21]  0.074169358 -0.093444679  0.046934528 -0.079220214 -0.213045453
[26] -0.031870542  0.084233335 -0.047242193 -0.111565426 -0.104184741
[31]  0.001666670  0.171334327 -0.080386729  0.054475632  0.064555921
[36] -0.142677456  0.032069681  0.150821885  0.015539764 -0.021144945
[41] -0.089841840 -0.052931400  0.186298590  0.010395710 -0.022910723
[46] -0.013391468 -0.041159941  0.043607406  0.017344076
> (mypacf <- c(rpacf$acf))
 [1] -0.009966162 -0.130194491  0.025217480 -0.074872097  0.110185421
 [6]  0.010223779 -0.080702948  0.010732946  0.020275620 -0.145746469
[11]  0.269593356 -0.098641664 -0.057636989 -0.204408301  0.079458853
[16] -0.089733963  0.071344618  0.019270953 -0.039895329  0.001331516
[21] -0.053433692 -0.014575993 -0.112136733 -0.208130745  0.028746620
[26] -0.027301017 -0.058629627 -0.189856848 -0.121375866  0.012831754
[31]  0.076251529 -0.043497523  0.069931377  0.035422291 -0.127074232
[36] -0.014281757  0.066542855 -0.045487449  0.006655541 -0.068001584
[41] -0.052307756 -0.026850411  0.018816030  0.030176919 -0.064621900
[46]  0.022517798  0.008598736 -0.141126794
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 
> #Note: the /var/www/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/freestat/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/freestat/rcomp/tmp/3li3y1228829858.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/freestat/rcomp/tmp/42pjr1228829858.tab") 
> 
> system("convert tmp/1w6341228829858.ps tmp/1w6341228829858.png")
> system("convert tmp/2p8m11228829858.ps tmp/2p8m11228829858.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.814   0.406   0.920