R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(233084,233898,231355,232662,230037,231814,246796,247891,248291,245766,238776,242541,246861,246843,246947,241679,240085,241514,250525,250567,252145,251877,245817,248269,246310,246733,245028,240022,238614,238096,248530,248381,247567,241783,235000,237384,238020,236412,232279,230408,230254,229217,239658,239906,236558,223566,216054,214685,216086,211692,204681,203075,198401,191246,206750,209611,199573,195635,190062,193134,194795,190835,185045,184425,177293,180549,195344,196597,189102,185749,185145,192243,197356)
> par5 = '12'
> par4 = '0'
> par3 = '1'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1ob3h1244103145.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2my291244103145.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.169158957 -0.251056585 -0.251874290 -0.222127360
 [6]  0.217830138  0.333260114  0.131706363 -0.194949493 -0.284041488
[11] -0.209521307  0.217492811  0.631117793  0.039055115 -0.207332119
[16] -0.220830880 -0.165960060  0.171727607  0.201549344  0.100752150
[21] -0.253554059 -0.286862098 -0.093114172  0.147696626  0.413814899
[26]  0.033723321 -0.224541429 -0.251892600 -0.125413374  0.124026522
[31]  0.159392377  0.066389646 -0.228322423 -0.187776437 -0.020796451
[36]  0.080009822  0.299196400  0.048477111 -0.203772084 -0.226279263
[41] -0.072892330  0.074818790  0.111558416  0.034264373 -0.214019601
[46] -0.105944170 -0.008822329  0.010156101  0.221476818
> (mypacf <- c(rpacf$acf))
 [1]  0.169158957 -0.287909806 -0.166665193 -0.247440071  0.218818533
 [6]  0.141431054  0.118217451 -0.136597768 -0.054170687 -0.209254618
[11]  0.182357675  0.472145773 -0.129191351  0.066350940  0.007818279
[16]  0.020582003 -0.143776836 -0.104535252  0.057190645 -0.221836125
[21]  0.001901662  0.020997422 -0.097186117  0.027637733  0.083278028
[26] -0.082227197 -0.163685105  0.020364881 -0.051959536 -0.099787957
[31] -0.019243398  0.111877485  0.031391432  0.022286061  0.004223717
[36] -0.005919624  0.000921270 -0.041497374 -0.071881512 -0.031067257
[41] -0.091575794 -0.001757146 -0.073072260 -0.083533584  0.029706734
[46] -0.050159556 -0.148670487 -0.063043830
> 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/3jx3m1244103145.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/4an5e1244103145.tab") 
> 
> system("convert tmp/1ob3h1244103145.ps tmp/1ob3h1244103145.png")
> system("convert tmp/2my291244103145.ps tmp/2my291244103145.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.554   0.310   0.715