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(72.5,72.0,98.8,75.2,81.2,88.0,54.6,68.6,101.5,93.4,84.5,91.4,64.5,64.5,117.3,73.5,79.7,102.6,57.9,73.1,102.4,82.3,89.1,84.7,81.4,67.5,113.9,83.8,73.9,103.9,67.9,62.5,125.4,79.1,106.3,96.2,94.3,85.6,117.4,88.5,124.2,119.3,76.8,70.6,122.1,109.5,119.9,102.3,79.6,78.2,103.6,77.8,99.1,105.7,84.1,88.7,108.0,98.1,101.0,82.0)
> par5 = '12'
> par4 = '1'
> par3 = '0'
> par2 = '-1.6'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/18g2p1229685289.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/20yt61229685289.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.119355062  0.170114203  0.189118182 -0.126513014
 [6]  0.189535215  0.029248431 -0.040027596  0.132613083 -0.153690956
[11]  0.238826000 -0.151779281 -0.218277600  0.038211955 -0.319617865
[16]  0.042058961 -0.034829965 -0.171979889  0.051575166 -0.100094036
[21] -0.001917865  0.014755294 -0.145849502 -0.008971012 -0.224197494
[26] -0.027934656  0.008145744 -0.101118027 -0.004942985 -0.082185488
[31] -0.015052728  0.058120753 -0.101218250 -0.081111554 -0.115971247
[36] -0.017103152  0.120021963  0.089220044  0.087115764  0.022168476
[41]  0.020794459  0.009535280 -0.067600582 -0.009984826  0.044729342
[46]  0.031035487  0.071118958  0.044551751
> (mypacf <- c(rpacf$acf))
 [1]  0.119355062  0.158121107  0.159349505 -0.196374765  0.182861132
 [6]  0.008692541 -0.050133792  0.057772949 -0.125177803  0.277202806
[11] -0.305398389 -0.145677509  0.019459711 -0.151169421  0.101666609
[16] -0.108832518  0.067048439 -0.100080534  0.115518286 -0.080687553
[21]  0.031049382  0.008073948 -0.220319585 -0.037146759 -0.102128901
[26]  0.059736294 -0.041387626 -0.130186842  0.016384710  0.025885106
[31]  0.058428385 -0.160515243 -0.076185883 -0.051426278 -0.006066714
[36]  0.097718915  0.023452582  0.033728571 -0.058272545 -0.064384214
[41] -0.081208561 -0.103993866  0.063256462  0.028614724 -0.042190776
[46] -0.087872979 -0.008037465
> 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/3hex91229685289.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/42uxe1229685289.tab") 
> 
> system("convert tmp/18g2p1229685289.ps tmp/18g2p1229685289.png")
> system("convert tmp/20yt61229685289.ps tmp/20yt61229685289.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.586   0.316   0.767