R version 2.6.0 (2007-10-03)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(106.70,110.20,125.90,100.10,106.40,114.80,81.30,87.00,104.20,108.00,105.00,94.50,92.00,95.90,108.80,103.40,102.10,110.10,83.20,82.70,106.80,113.70,102.50,96.60,92.10,95.60,102.30,98.60,98.20,104.50,84.00,73.80,103.90,106.00,97.20,102.60,89.00,93.80,116.70,106.80,98.50,118.70,90.00,91.90,113.30,113.10,104.10,108.70,96.70,101.00,116.90,105.80,99.00,129.40,83.00,88.90,115.90,104.20,113.40,112.20)
> par5 = '12'
> par4 = '1'
> par3 = '0'
> par2 = '1'
> par1 = '48'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1iwb81197901964.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/21y9c1197901964.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.391767179  0.386418401  0.404159552  0.198638617
 [6]  0.292481324  0.152710543  0.006410638 -0.021801321 -0.044998367
[11] -0.033133142 -0.113980975 -0.096487594 -0.104535723 -0.005188823
[16]  0.062382587 -0.163064067  0.053424832  0.049195889 -0.030711484
[21]  0.127268706  0.027308559 -0.092390204  0.071709663 -0.086433675
[26] -0.165811116 -0.130783006 -0.217989400 -0.077337592 -0.239310241
[31] -0.212447960 -0.219370072 -0.146231173 -0.124288438 -0.144653052
[36] -0.077679814 -0.119303516 -0.029866189  0.070459041 -0.082663820
[41]  0.002240533  0.009366206  0.015771907  0.072739663 -0.015098908
[46] -0.015490195 -0.066328384 -0.017075588
> (mypacf <- c(rpacf$acf))
 [1]  0.391767179  0.275170459  0.238525919 -0.085655288  0.120404094
 [6] -0.075755568 -0.167631514 -0.146041611  0.010775324  0.056491400
[11] -0.069599766  0.014681164  0.012371624  0.151064367  0.102331589
[16] -0.276115586  0.115067175  0.084083525 -0.081757188 -0.002423329
[21]  0.075131738 -0.168387333  0.042828027 -0.142148121 -0.170547363
[26] -0.002927001 -0.028877081  0.163235009 -0.227936775  0.051324047
[31] -0.025988277  0.037037558 -0.075365626 -0.026770648 -0.019330096
[36]  0.024380600  0.039855642 -0.072589290  0.045181552 -0.043035639
[41] -0.065788567  0.050535160  0.002838454  0.072643272 -0.096341560
[46] -0.082416979  0.003767189
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 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 1:par1) {
+ 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(mytstat,lengthx),6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/37ogy1197901964.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-1,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(mytstat,lengthx),6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/4kr0d1197901964.tab") 
> 
> system("convert tmp/1iwb81197901964.ps tmp/1iwb81197901964.png")
> system("convert tmp/21y9c1197901964.ps tmp/21y9c1197901964.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.832   0.318   0.929