R version 2.7.0 (2008-04-22)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(54156,53661,52441,50648,48141,46127,45623,56527,60205,61321,58088,54623,53495,51824,50518,49050,47111,45264,44357,54862,57871,59070,56273,52837,51702,49447,48965,46922,46256,45200,44471,53119,55016,56641,51847,47990,45744,46390,44461,41582,40813,38096,35461,44375,46255,45610,43375,40167,40628,40590,39473,36735,36634,32806,32907,41076,42254,43215,41116,40373)
> par5 = '12'
> par4 = '1'
> par3 = '1'
> par2 = '1'
> par1 = '60'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1mzrn1230065462.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/23g1r1230065462.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.160094994  0.159126665 -0.025674441  0.092619968
 [6] -0.122456345 -0.021383578  0.098665567 -0.032403752  0.072253771
[11] -0.088186620  0.432228791 -0.279690744  0.048273429 -0.078069288
[16] -0.066309024 -0.250069365 -0.003946551 -0.043824928 -0.071257691
[21]  0.028633981  0.002584757  0.167715875 -0.165419831  0.008964098
[26] -0.040344533  0.021231814 -0.107553452 -0.025890973  0.017096458
[31]  0.003845530  0.081472287  0.026548505 -0.005173210 -0.057889691
[36] -0.031263301  0.011223318 -0.005662473  0.007278637 -0.037251902
[41] -0.005412277 -0.047769988  0.025749655  0.028097467 -0.015685531
[46] -0.005360788 -0.039565301
> (mypacf <- c(rpacf$acf))
 [1] -0.160094994  0.137007824  0.019083016  0.073074505 -0.104078573
 [6] -0.079726991  0.123500110  0.009782657  0.058385322 -0.084508277
[11]  0.399573160 -0.179934301 -0.133452764 -0.031686865 -0.144849589
[16] -0.191127543 -0.039146647 -0.093687417 -0.035879940  0.017516597
[21]  0.063638770  0.016523833  0.067738884 -0.049699755 -0.002705433
[26]  0.130582696  0.049682972 -0.201768873  0.005131674  0.022940052
[31] -0.008539721 -0.051993642 -0.183001256 -0.050515275 -0.003984399
[36]  0.034972955 -0.022065699  0.086847522  0.039771420 -0.103037217
[41] -0.038334806  0.020426228  0.009867198  0.016533398 -0.017103939
[46] -0.039994536
> 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/3o4px1230065462.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/4jchx1230065462.tab") 
> 
> system("convert tmp/1mzrn1230065462.ps tmp/1mzrn1230065462.png")
> system("convert tmp/23g1r1230065462.ps tmp/23g1r1230065462.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.545   0.539   1.640