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(6.2,6.1,5.9,5.6,5.5,5.5,5.6,5.7,5.6,5.4,5.3,5.3,5.4,5.5,5.6,5.7,5.8,5.8,5.7,5.9,6.1,6.4,6.4,6.3,6.2,6.2,6.3,6.5,6.6,6.6,6.7,6.6,6.7,7,7.2,7.3,7.5,7.6,7.7,7.8,7.8,7.7,7.6,7.6,7.7,7.8,7.8,7.8,7.7,7.6,7.4,7.1,7.1,7.3,7.6,7.8,7.7,7.6,7.5,7.5,7.5,7.6,7.6,7.7,7.8,7.7,7.6,7.6,7.6,7.7,7.8,7.8,7.9,7.9,7.8,7.8,7.7,7.5,7.1,6.9,7.1,7.1,7.1,7,6.9,6.8,6.7,6.8,6.8,6.7,6.8,6.7,6.6,6.4,6.4,6.4,6.5,6.5,6.4,6.3,6.2,6.3)
> par5 = '12'
> par4 = '0'
> par3 = '2'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1vfpc1228578665.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2ss071228578665.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.036718712 -0.195418395 -0.250068309 -0.237872652
 [6]  0.048780190  0.097692120  0.127940961  0.048772871  0.024374238
[11] -0.018199561 -0.036621127 -0.127865333 -0.085296414  0.103649671
[16]  0.109990242 -0.012115150  0.012156624 -0.146055135  0.012395706
[21]  0.116199073  0.078992437  0.006167358 -0.072878751 -0.207182240
[26] -0.042510368  0.128260551  0.177050500  0.134110759 -0.115952671
[31] -0.207562820 -0.061066114 -0.024230300  0.183134911  0.048831422
[36] -0.005818492 -0.042537204
> (mypacf <- c(rpacf$acf))
 [1] -0.036718712 -0.197032310 -0.277005200 -0.353821503 -0.184107716
 [6] -0.193024840 -0.128892482 -0.121453801 -0.014877660  0.023720521
[11]  0.067983329 -0.052720988 -0.084557393  0.033212478  0.035184012
[16] -0.096077759 -0.013897812 -0.160630297 -0.044846285  0.045084200
[21]  0.096780278  0.088814861  0.122547551 -0.107027726 -0.095445294
[26] -0.026770653  0.069428676  0.106025464 -0.005214591 -0.121757367
[31] -0.034946560 -0.076820194  0.131816967 -0.019684305 -0.009625925
[36] -0.120626227
> 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/31xgf1228578665.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/4t5aw1228578665.tab") 
> 
> system("convert tmp/1vfpc1228578665.ps tmp/1vfpc1228578665.png")
> system("convert tmp/2ss071228578665.ps tmp/2ss071228578665.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.584   0.361   0.729