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(95.5,76.7,79.4,55.2,60,64.8,82.3,210.5,106,80.8,97.3,189.5,90,69.3,87.3,57.4,56.2,61.6,77.7,177.2,97.6,81.6,96.8,191.3,106,75.1,72,63.5,57.4,62.3,79.4,178.1,109.3,85.2,102.7,193.7,108.4,73.4,85.9,58.5,58.6,62.7,77.5,180.5,102.2,82.6,97.8,197.8,93.8,72.4,77.7,58.7,53.1,64.3,76.4,188.4,105.5,79.8,96.1,202.5)
> par7 = '0.95'
> par6 = 'MA'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1omgu1260538596.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2rhqg1260538596.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.107720851  0.075718800  0.074264504  0.043616750
 [6] -0.281051534  0.036444475  0.172290040 -0.025657098  0.063247134
[11] -0.027357029 -0.041267527 -0.279045614 -0.059407870 -0.090952746
[16] -0.130959264 -0.140358310 -0.043721050 -0.012972541 -0.172856119
[21] -0.025414052 -0.072017175  0.029427007  0.021920067 -0.001237795
[26] -0.005852721  0.032189882  0.041801878 -0.004426009  0.135323710
[31]  0.013689935  0.159114889  0.081861299  0.030651177 -0.046865093
[36]  0.030967997 -0.096765977
> (mypacf <- c(rpacf$acf))
 [1]  0.107720851  0.064867730  0.060604797  0.025952861 -0.302716133
 [6]  0.095503201  0.219835932 -0.046917126  0.055911784 -0.183815527
[11] -0.014151643 -0.168425713 -0.038805501 -0.008028139 -0.161682211
[16] -0.127129102 -0.110240973  0.055236539 -0.093259699 -0.076487988
[21] -0.090042160  0.035126680  0.119810925 -0.160283667 -0.055798429
[26] -0.017164592  0.012871695  0.011169109 -0.009601989 -0.071357497
[31]  0.082540939  0.024752244 -0.065609197 -0.058618989 -0.044489580
[36] -0.153609031
> 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/3xugx1260538596.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/4bus21260538596.tab") 
> 
> system("convert tmp/1omgu1260538596.ps tmp/1omgu1260538596.png")
> system("convert tmp/2rhqg1260538596.ps tmp/2rhqg1260538596.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.555   0.328   1.036