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(106,82,114,118,105,105,103,107,123,112,104,122,108,94,120,118,117,113,106,108,122,115,110,120,104,96,121,111,120,114,107,108,127,105,119,121,106,97,119,122,121,106,114,112,127,109,118,123,115,105,116,131,121,104,127,126,124,132,117,123)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1fqrl1227867616.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2boxd1227867616.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000 -0.56732324 -0.06724711  0.28740196 -0.14465798 -0.12063497
 [7]  0.28762016 -0.27041225  0.05576195  0.14773056 -0.08251920 -0.12777416
[13]  0.17520358 -0.08233162 -0.04868086  0.17905133 -0.21329284  0.05835641
[19]  0.12466292 -0.13819664  0.05259683  0.04301969 -0.18843481  0.35557370
[25] -0.32848224  0.04901615  0.14506354 -0.04373991 -0.14253968  0.20017934
[31] -0.12795598 -0.02713556  0.10164415 -0.02739677 -0.08827769  0.11988760
[37] -0.03251824
> (mypacf <- c(rpacf$acf))
 [1] -0.56732324 -0.57377574 -0.21577957 -0.06093584 -0.20632784  0.06902437
 [7] -0.11170808 -0.15222253 -0.06705287  0.13813729 -0.01851606 -0.10146039
[13] -0.10058914 -0.14791262  0.10056272 -0.07111229 -0.09729156 -0.10658764
[19] -0.07938557  0.08353964  0.07188352 -0.23305516  0.20413759 -0.06509516
[25] -0.10369713 -0.08909166  0.07779806 -0.02378069 -0.07707826  0.01095206
[31] -0.09748269 -0.16672984 -0.12552184  0.09956190 -0.07094782 -0.09431791
> 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/31xod1227867616.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/41dlq1227867616.tab") 
> 
> system("convert tmp/1fqrl1227867616.ps tmp/1fqrl1227867616.png")
> system("convert tmp/2boxd1227867616.ps tmp/2boxd1227867616.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.565   0.320   5.769