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 = '1'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1nwl81229436474.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/20w6t1229436474.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.86658367  0.75674814  0.65689391  0.55672393  0.47143982
 [7]  0.35913841  0.28010876  0.19242447  0.11181933  0.11322648  0.08754426
[13]  0.08636074  0.06288052  0.06805359  0.10535941  0.07533121  0.05548530
[19]  0.01733923 -0.03809535 -0.06154468 -0.13018689 -0.21875773 -0.32340277
[25] -0.38469239 -0.40959853 -0.39506461 -0.38106928 -0.36645234 -0.33841864
[31] -0.30525341 -0.27205931 -0.22054542 -0.18378652 -0.15529360 -0.12614878
[37] -0.09378775
> (mypacf <- c(rpacf$acf))
 [1]  0.866583665  0.023213398 -0.015207032 -0.054961895 -0.002545568
 [6] -0.158589566  0.044359541 -0.090314064 -0.035734090  0.259148460
[11] -0.075279165  0.061207031 -0.092521378  0.101311612  0.072128551
[16] -0.197544556 -0.048346787 -0.076676020 -0.063678100  0.044653680
[21] -0.148991706 -0.269803249 -0.078727490  0.118994965 -0.041790385
[26]  0.223126805 -0.116754571  0.032135974  0.060102315 -0.142278130
[31] -0.053787430  0.016998193  0.046839337  0.045004282  0.051927324
[36] -0.060722393
> 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/3tnhm1229436474.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/48yey1229436474.tab") 
> 
> system("convert tmp/1nwl81229436474.ps tmp/1nwl81229436474.png")
> system("convert tmp/20w6t1229436474.ps tmp/20w6t1229436474.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.562   0.312   0.767