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(258778,252791,256389,258961,258647,256304,250498,247883,249552,262626,264416,273049,272441,267564,265952,263937,264765,263386,258985,257334,257477,271486,274488,281274,272674,269704,268227,276444,272247,268516,263406,263619,265905,281681,287413,289423,281242,273878,269022,272630,270287,260447,262248,252806,238663,258438,266719,263279,258064,248828,248284,253376,251846,239494,239709,228793,229521,249999,254016,251178)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/freestat/rcomp/tmp/1mqss1229436336.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/2o1gi1229436336.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.91015940  0.82626824  0.77853276  0.74178959  0.68119824
 [7]  0.61128286  0.51577068  0.43948299  0.36108107  0.27037653  0.17256858
[13]  0.07498964  0.03304708  0.01936748 -0.02226044 -0.10638632 -0.15673362
[19] -0.17106022 -0.18187647 -0.19138408 -0.21930454 -0.24364723 -0.25784213
[25] -0.27700334 -0.30696213 -0.32761155 -0.33598256 -0.32800351 -0.31200509
[31] -0.32393414 -0.36014493 -0.36751778 -0.32632552 -0.30214153 -0.28851022
[37] -0.26753374
> (mypacf <- c(rpacf$acf))
 [1]  0.910159403 -0.012364687  0.165820633  0.050227590 -0.119690830
 [6] -0.072445882 -0.242061896  0.006395472 -0.126151803 -0.121890291
[11] -0.088870108 -0.131217914  0.294963514  0.166888889  0.001381712
[16] -0.211755547  0.008283823  0.069100140 -0.093077320  0.079229213
[21] -0.193266452 -0.051168321 -0.130458063 -0.142484134  0.040297822
[26]  0.027018883  0.116394307 -0.094162512  0.140345039  0.007601692
[31] -0.172621485  0.082654938  0.102021515 -0.054277401 -0.095222716
[36]  0.037209240
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 
> #Note: the /var/www/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/freestat/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/freestat/rcomp/tmp/3l8tl1229436336.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/freestat/rcomp/tmp/4emb51229436336.tab") 
> 
> system("convert tmp/1mqss1229436336.ps tmp/1mqss1229436336.png")
> system("convert tmp/2o1gi1229436336.ps tmp/2o1gi1229436336.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.781   0.420   0.900