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(172,171,170,168,166,165,166,168,169,169,170,172,173,172,165,152,148,145,141,149,146,144,149,150,149,156,150,137,130,126,125,123,117,111,114,121,122,131,125,116,106,98,99,96,95,83,85,98,102,110,101,90,88,83,88,85,86,80,79,97,105,116,99,87,82,81,85,84,78,77,79,85,96,108,98,86,80,74,75,82,71,66,71,75)
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '0'
> par3 = '0'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1bj0e1281783206.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2bj0e1281783206.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.95503703  0.89613915  0.83799332  0.79337025  0.76712762
 [7]  0.73607564  0.69872316  0.66306118  0.64347316  0.63933586  0.63975748
[13]  0.62407301  0.57508688  0.50985934  0.44749723  0.40188811  0.37146907
[19]  0.33957035  0.30224478  0.26229451  0.23812040  0.23119318  0.22869505
[25]  0.21016409  0.17114902  0.11141560  0.05570685  0.01484055 -0.01619324
[31] -0.04500500 -0.08058974 -0.11035465 -0.12699278 -0.12724695 -0.12390832
[37] -0.13847369 -0.16823636 -0.21421877 -0.25712966 -0.28697830 -0.30887507
[43] -0.32547033 -0.34594846 -0.35695017 -0.35753602 -0.34221438 -0.32243922
[49] -0.32016563
> (mypacf <- c(rpacf$acf))
 [1]  9.550370e-01 -1.815223e-01  1.795304e-03  1.209024e-01  1.460865e-01
 [6] -1.305635e-01 -5.082470e-02  6.998586e-02  1.801512e-01  7.273824e-02
[11] -3.010584e-03 -1.500936e-01 -2.913193e-01 -1.275397e-01 -3.222927e-03
[16]  6.520383e-02  5.344210e-02 -2.111003e-02 -1.558190e-02 -5.861119e-02
[21]  6.058754e-02  3.677492e-02 -1.462063e-02 -1.045545e-01 -1.427637e-02
[26] -1.573075e-01 -1.376825e-02 -5.685073e-03 -1.030259e-02 -1.181573e-02
[31] -2.207059e-02  7.992604e-02 -7.666586e-05 -3.618614e-03 -3.848069e-02
[36] -1.139602e-01  1.393400e-02 -6.594808e-02 -1.577819e-02 -1.307625e-02
[41] -4.147353e-03  3.375285e-02 -9.365801e-03  6.567260e-02 -1.856937e-02
[46]  2.355143e-02  6.776640e-03 -8.240279e-02
> 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/3ptgn1281783206.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/4i2y81281783206.tab") 
> 
> try(system("convert tmp/1bj0e1281783206.ps tmp/1bj0e1281783206.png",intern=TRUE))
character(0)
> try(system("convert tmp/2bj0e1281783206.ps tmp/2bj0e1281783206.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.566   0.306   0.763