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(555,562,561,555,544,537,543,594,611,613,611,594,595,591,589,584,573,567,569,621,629,628,612,595,597,593,590,580,574,573,573,620,626,620,588,566,557,561,549,532,526,511,499,555,565,542,527,510,514,517,508,493,490,469,478,528,534,518,506,502)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/16tp41230129685.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2xv3a1230129685.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000 -0.05686408  0.10843071  0.15130694  0.12096838  0.02282866
 [7]  0.05078987  0.02562450  0.09249117 -0.03118476 -0.08633818  0.28175549
[13] -0.16847068 -0.09393009  0.03736450 -0.06485607 -0.11885530 -0.02855468
[19] -0.07593800  0.02911963 -0.01544007 -0.02376679  0.06228123 -0.01847710
[25] -0.14426902 -0.02321777 -0.09603425 -0.05269772 -0.02783492  0.06140084
[31] -0.03958311  0.04490540 -0.06011130 -0.02122660 -0.05428574 -0.02817945
[37] -0.03410164 -0.07673084 -0.02016247 -0.04341795  0.02248004 -0.08114891
[43]  0.03173379  0.01690106 -0.01666646 -0.01286056 -0.04517772
> (mypacf <- c(rpacf$acf))
 [1] -0.056864077  0.105538449  0.165191537  0.133860420  0.008009673
 [6]  0.000757351 -0.014986621  0.071255238 -0.032704738 -0.125350252
[11]  0.261502777 -0.135284073 -0.151024904  0.001910253 -0.064393524
[16] -0.078759918 -0.006102380 -0.028868989  0.038879847  0.080549245
[21]  0.054456138 -0.048345974  0.054989877 -0.124127498 -0.138743494
[26] -0.078279531  0.005154556 -0.008022858  0.154232538 -0.020380663
[31]  0.016653691 -0.045854512 -0.083177953 -0.117389896  0.064939931
[36]  0.005124904 -0.072992969  0.016156887 -0.035729271 -0.064300170
[41] -0.034740675 -0.028678230  0.052614680  0.059552711  0.061593192
[46] -0.101722439
> 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/3xbtt1230129685.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/4qdht1230129686.tab") 
> 
> system("convert tmp/16tp41230129685.ps tmp/16tp41230129685.png")
> system("convert tmp/2xv3a1230129685.ps tmp/2xv3a1230129685.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.589   0.298   0.724