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(98.5,97,103.3,99.6,100.1,102.9,95.9,94.5,107.4,116,102.8,99.8,109.6,103,111.6,106.3,97.9,108.8,103.9,101.2,122.9,123.9,111.7,120.9,99.6,103.3,119.4,106.5,101.9,124.6,106.5,107.8,127.4,120.1,118.5,127.7,107.7,104.5,118.8,110.3,109.6,119.1,96.5,106.7,126.3,116.2,118.8,115.2,110,111.4,129.6,108.1,117.8,122.9,100.6,111.8,127,128.6,124.8,118.5,114.7,112.6,128.7,111,115.8,126,111.1,113.2,120.1,130.6,124,119.4,116.7,116.5,119.6,126.5,111.3,123.5,114.2,103.7,129.5)
> par5 = '12'
> par4 = '1'
> par3 = '0'
> par2 = '-1.0'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/freestat/rcomp/tmp/1v0ab1229334707.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/2g6mv1229334707.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.053280199  0.065092467  0.264314999 -0.052828206
 [6]  0.154761512  0.161540845 -0.108107914  0.138555778  0.256599708
[11] -0.085152095  0.005374611 -0.109833005 -0.143001380  0.101216955
[16] -0.051382665 -0.070969306  0.186418862  0.035123961 -0.183101799
[21] -0.005144197  0.016511156 -0.117571312  0.117780680 -0.245956200
[26] -0.105839127  0.089256553  0.001627468 -0.105562969  0.007541536
[31] -0.039500470  0.059147478  0.115453069 -0.178814560  0.026220801
[36]  0.102559987  0.011181063
> (mypacf <- c(rpacf$acf))
 [1]  0.053280199  0.062430914  0.259482152 -0.085055635  0.142414377
 [6]  0.092150326 -0.109011820  0.072513884  0.240033422 -0.091204055
[11] -0.123654678 -0.197993589 -0.069933699  0.052339425  0.009711248
[16]  0.029731195  0.177772492  0.059922443 -0.246112857 -0.073574318
[21]  0.231863548 -0.077877260 -0.035687190 -0.307749285 -0.052873702
[26] -0.043404380  0.252841051  0.050233874  0.147848445 -0.043512581
[31] -0.036408116 -0.017679375  0.050849013  0.023528489  0.004100682
[36] -0.058657347
> 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/33dm21229334707.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/4rzjr1229334707.tab") 
> 
> system("convert tmp/1v0ab1229334707.ps tmp/1v0ab1229334707.png")
> system("convert tmp/2g6mv1229334707.ps tmp/2g6mv1229334707.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.761   0.421   0.885