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(88827,85874,85211,87130,88620,89563,89056,88542,89504,89428,86040,96240,94423,93028,92285,91685,94260,93858,92437,92980,92099,92803,88551,98334,98329,96455,97109,97687,98512,98673,96028,98014,95580,97838,97760,99913,97588,93942,93656,93365,92881,93120,91063,90930,91946,94624,95484,95862,95530,94574,94677,93845,91533,91214,90922,89563,89945,91850,92505,92437)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/17e4m1229280962.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2eg2k1229280962.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.757058322  0.626363876  0.519915417  0.439353418
 [6]  0.378448780  0.290608902  0.237824389  0.186751714  0.092634457
[11]  0.098650671  0.073061145  0.195435007  0.060931944 -0.007246530
[16] -0.005873875 -0.045305287 -0.064218632 -0.095338780 -0.153158675
[21] -0.169066525 -0.241455046 -0.251381371 -0.321241006 -0.334070842
[26] -0.399667244 -0.437906605 -0.410653486 -0.389685901 -0.349174374
[31] -0.294775108 -0.284273441 -0.240572697 -0.177978273 -0.102622811
[36] -0.066696581 -0.026890216
> (mypacf <- c(rpacf$acf))
 [1]  0.75705832  0.12469249  0.02486848  0.02340994  0.02466481 -0.07531161
 [7]  0.01264239 -0.01295100 -0.13542993  0.13313420 -0.01448070  0.33637585
[13] -0.47087927  0.05225584  0.04919430 -0.06491536 -0.04222636 -0.02104314
[19] -0.11520812 -0.03684706  0.04627162 -0.17481131 -0.09733663 -0.24672456
[25]  0.13186538 -0.06639612 -0.04338442  0.03970173  0.05530935 -0.02460870
[31]  0.02877515 -0.04213185  0.10659395  0.04123488  0.03067666  0.10825039
> 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/3bm681229280962.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/4sfyp1229280962.tab") 
> 
> system("convert tmp/17e4m1229280962.ps tmp/17e4m1229280962.png")
> system("convert tmp/2eg2k1229280962.ps tmp/2eg2k1229280962.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.542   0.316   0.645