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 = '1'
> par3 = '1'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1p9sq1230123564.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2tn151230123564.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000e+00 -1.517953e-02 -1.212996e-02 -4.294037e-01 -1.299736e-02
 [6] -1.343106e-02 -1.386477e-02 -1.429847e-02 -1.473217e-02  1.503834e-01
[11] -2.604937e-02 -2.648307e-02 -8.048867e-02 -1.005025e-02 -6.071811e-03
[16] -6.505512e-03 -6.939213e-03 -7.372913e-03 -7.806614e-03 -8.240315e-03
[21] -8.674016e-03  1.342511e-01 -5.129280e-03  1.173724e-02 -7.262397e-02
[26]  1.086984e-02 -1.365987e-05 -4.473607e-04 -8.810614e-04 -1.314762e-03
[31] -1.748463e-03 -2.182164e-03 -2.615865e-03  4.337008e-04
> (mypacf <- c(rpacf$acf))
 [1] -0.015179527 -0.012363229 -0.429942494 -0.035142009 -0.034510685
 [6] -0.247271237 -0.060371816 -0.063559629  0.037627207 -0.075584320
[11] -0.082869258 -0.002261897 -0.078515052 -0.081195533 -0.045984370
[16] -0.076841367 -0.079493786 -0.108258234 -0.086677568 -0.092739643
[21]  0.076430054 -0.067317538 -0.049053123  0.017954384 -0.032062577
[26] -0.022637492 -0.021958475 -0.011865391 -0.008685029 -0.089091375
[31] -0.011539192 -0.017127607 -0.048403453
> 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/37nc51230123564.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/4ioa11230123564.tab") 
> 
> system("convert tmp/1p9sq1230123564.ps tmp/1p9sq1230123564.png")
> system("convert tmp/2tn151230123564.ps tmp/2tn151230123564.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.530   0.309   0.647