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(85,95.9,108.9,96.2,100.1,105.7,64.5,66.8,110.3,96.1,102.5,97.6,83.6,86.5,96,91.1,87.2,84.5,59.2,61.5,98.8,97.9,92.7,84.2,74.5,79.7,86.8,79.8,87,91.4,58.7,62.8,87.9,90.4,80.6,73.5,71.4,70.6,78.3,76,77.4,80.9,63.4,58.1,88.2,81.2,84.9,76.4,71.5,76.1,82.9,78,82,84.7,55.7,59.5,83.2,87.6,76.2,76.4,68.3,70,76.3,70.9,72.4,80.1,57.4,62.7,82.6,88.9,80.4,72,69.4,69.2,77.3,79.4,78.6,76.1,61.8,59.4,78.1)
> par5 = '12'
> par4 = '1'
> par3 = '0'
> par2 = '-1.3'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1u1fo1229335032.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2qmsx1229335032.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.262410475  0.352097691  0.212624757  0.110401267
 [6]  0.020033005  0.083999684  0.033768311  0.105018595  0.067607418
[11]  0.035561063 -0.005875581 -0.376848254 -0.035525310 -0.200507004
[16] -0.043862423 -0.049347099  0.132561786  0.133929473  0.173071932
[21]  0.137174589  0.226479028  0.017317679  0.146344524  0.073299868
[26]  0.025327496  0.119218520  0.055881716  0.084126464 -0.049640444
[31] -0.086881904 -0.080820462 -0.170589592 -0.267573652 -0.109575466
[36] -0.223975583 -0.004548802
> (mypacf <- c(rpacf$acf))
 [1]  0.262410475  0.304184342  0.081083569 -0.055209538 -0.095539628
 [6]  0.072286823  0.040480298  0.084320477  0.007038805 -0.055323966
[11] -0.060533888 -0.462810710  0.167453901  0.067834343  0.144552454
[16] -0.027769828  0.107740734  0.188623112  0.032110662  0.103443195
[21]  0.186507591 -0.116725653 -0.003336538 -0.322686471  0.037186330
[26]  0.007503803  0.023473423 -0.010204833 -0.131308130 -0.022178244
[31]  0.056297318  0.004869767  0.034267893 -0.116842743 -0.010151068
[36] -0.029910323
> 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/3b97e1229335032.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/4cspq1229335032.tab") 
> 
> system("convert tmp/1u1fo1229335032.ps tmp/1u1fo1229335032.png")
> system("convert tmp/2qmsx1229335032.ps tmp/2qmsx1229335032.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.568   0.308   0.645