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(595,591,612,595,597,589,584,573,567,569,621,629,628,593,588,566,557,590,580,574,573,573,620,626,620,561,527,510,514,549,532,526,511,499,555,565,542,517,506,502,516,508,493,490,469,478,528,534,518,528,533,536,537,524,536,587,597,581,564,558)
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '1'
> par3 = '0'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1mv2b1260388895.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2e3hf1260388895.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.86375682  0.66642743  0.49274348  0.38433505  0.35123356
 [7]  0.28921253  0.20336092  0.11509017  0.05452939  0.03519993  0.00282653
[13] -0.06209579 -0.13692702 -0.16009066 -0.13701519 -0.09572952 -0.09167099
[19] -0.14867834 -0.22434730 -0.29523698 -0.34617864 -0.37442829 -0.40313863
[25] -0.39434130 -0.31795827 -0.24933176 -0.20006783 -0.18114525 -0.20014944
[31] -0.16821729 -0.10506989 -0.03345822  0.01481496  0.03223749  0.03651393
[37]  0.04586914  0.05975158  0.05074944  0.01626230 -0.03105043 -0.04957630
[43] -0.01166006  0.03439743  0.06856697  0.05584616  0.02721811  0.01662009
> (mypacf <- c(rpacf$acf))
 [1]  0.863756820 -0.313670114  0.032709916  0.112321397  0.145788678
 [6] -0.256106372 -0.013758147  0.006101271  0.043974899 -0.025834003
[11] -0.126418903 -0.104147305  0.001192602  0.158958413 -0.044581932
[16] -0.009677427 -0.109071826 -0.095943018 -0.084721349 -0.120310799
[21] -0.133011452 -0.023802206 -0.038933035  0.106601732  0.196313952
[26] -0.193527647 -0.018082165  0.054090420 -0.089916887  0.111742411
[31] -0.013884889 -0.040859980 -0.052163933  0.121691033 -0.130592249
[36] -0.005142747  0.024571571 -0.034100479 -0.072315384 -0.069916893
[41] -0.039741539  0.036391299  0.006273425 -0.033049693 -0.048589001
[46]  0.027346417 -0.042369501
> 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/370ay1260388895.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/434ha1260388895.tab") 
> 
> system("convert tmp/1mv2b1260388895.ps tmp/1mv2b1260388895.png")
> system("convert tmp/2e3hf1260388895.ps tmp/2e3hf1260388895.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.589   0.321   0.735