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(101.76,101.76,101.76,101.76,101.76,101.76,101.76,101.76,101.76,103.36,103.36,103.36,104.85,104.85,104.85,104.85,104.85,104.85,104.85,104.85,104.85,107.35,107.35,107.35,107.35,107.35,107.35,107.35,107.35,107.35,107.35,107.35,107.35,109.47,109.47,109.47,109.47,109.47,109.47,109.47,109.47,109.47,109.47,109.47,109.47,111.29,111.29)
> par5 = '12'
> par4 = '0'
> par3 = '0'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1px281230123232.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2c5z61230123232.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.922208081  0.844416161  0.788764734  0.727353183
 [6]  0.665941632  0.604530081  0.543118530  0.481706979  0.420295428
[11]  0.367261113  0.314226798  0.261192483  0.192548107  0.123903732
[16]  0.081049380  0.038195028 -0.004659324 -0.047513675 -0.090368027
[21] -0.133222379 -0.176076730 -0.199411012 -0.222745294 -0.246079576
[26] -0.288602996 -0.331126417 -0.343237073 -0.355347729 -0.367458385
[31] -0.379569041 -0.391679697 -0.403790353 -0.415901008 -0.411538711
[36] -0.407176414 -0.384688109
> (mypacf <- c(rpacf$acf))
 [1]  0.922208081 -0.040470082  0.106130906 -0.071727741 -0.014895566
 [6] -0.047755024 -0.033859195 -0.042275737 -0.040466951  0.013581321
[11] -0.040877593 -0.025489950 -0.154493723 -0.050328408  0.089409191
[16] -0.038485140 -0.003229746 -0.058530103 -0.036378394 -0.056361375
[21] -0.050135140  0.072843088 -0.046143167  0.007962488 -0.189547470
[26] -0.045431455  0.085617763 -0.038947516  0.025615934 -0.070223548
[31] -0.013985365 -0.068124161 -0.042500501  0.039819723 -0.047382705
[36]  0.186600106
> 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/30lve1230123232.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/4q9371230123232.tab") 
> 
> system("convert tmp/1px281230123232.ps tmp/1px281230123232.png")
> system("convert tmp/2c5z61230123232.ps tmp/2c5z61230123232.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.555   0.320   0.663