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(35810356.5,35492936.3,38937434.1,40059102.8,37708710.2,41570965.7,36333563,34181220.1,42593543.9,43119727.6,38497690.9,45473273.4,38399780.4,38882302.6,44051120.6,41677559.9,40699203.5,44150027.6,38225518.7,35447405.7,43075518.3,42302792,39743541.7,44670641.2,37123384,37668266.4,46117528.8,42273156.4,39404153.2,45799994.5,38602505.2,39454830.1,47427901.4,46497980.9,45057149.4,50615569.2,43033396.2,46013056.5,54222266.3,46417306.4,51046271.8,51201279.6,43475288.7,44968981.1,53939345.4,54549319.7,54072107.3,58434230.1,51158751,50039368,57872617.4,51642978.8,54534465.9,56094697.8,48189983.1,47492381,52987449.1,55719803.5,53922860.5,54931231.9)
> par5 = '12'
> par4 = '1'
> par3 = '1'
> par2 = '1'
> par1 = 'Default'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/19ayv1228229399.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/205iq1228229399.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.0000000000 -0.4068692572 -0.0007050109  0.1837347810 -0.0969338065
 [6]  0.0093531774  0.1152389102 -0.0595661023  0.0810443342  0.0683209598
[11] -0.1586155278  0.1858790912 -0.2098236539  0.0393863585  0.0891930357
[16] -0.0217458941 -0.1772579189  0.0914093091
> (mypacf <- c(rpacf$acf))
 [1] -0.40686926 -0.19922839  0.12770031  0.05061989  0.01078739  0.10593065
 [7]  0.05084635  0.10589129  0.13680313 -0.08664173  0.07422592 -0.19665587
[13] -0.10859619 -0.01323877  0.08049111 -0.18476336 -0.14087487
> 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/3s14w1228229399.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/41zim1228229399.tab") 
> 
> system("convert tmp/19ayv1228229399.ps tmp/19ayv1228229399.png")
> system("convert tmp/205iq1228229399.ps tmp/205iq1228229399.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.533   0.307   0.618