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(132,131.4,132.7,130.9,126,109.7,68.3,70.6,75.3,74.1,74.9,74,74.2,76,76.2,74.9,74.1,76.5,57.8,59.2,57.3,57.5,60.4,59.9,59.9,60,60.2,65.4,62.4,78.8,65.6,64.4,67.4,65.3,66.7,66.8,69.4,71.7,77.1,81.1,82.1,92.1,77.1,78.2,77.7,77.3,78.5,78.8,78.7,79.8,82.2,84,81.7,77.6,64.3,72.6,73.8,73.8,70.1,70,72.3,72.1,73.3,79.1,77,76.1,66.4,72.7,73.2,70.7,73.6,74.2,72.6,73.6,79.1,79.6,78,85.4,82,91.9,89.4,92.1,93.8,93.6,95.6,99.9,103.7,99.2,93.7,93.5,80.7,91.8,105.8,111.3,110.3,109.4,111.4,111.6,111.8,106.6,104.3,105.5,98.5,108.5,106,101.8,101.3,92.4,88.9,84.9,86.4,90.7,86.8,90.6,88.3,95.4,93.6,91.3,91.3,89.3)
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '0'
> par3 = '1'
> par2 = '1'
> par1 = 'Default'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1wai71290793704.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2wai71290793704.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.004856523  0.038748305 -0.025782253 -0.104056753
 [6]  0.039723135 -0.039873005  0.046565410 -0.051746213 -0.024655254
[11]  0.065191647 -0.142181911  0.462540529 -0.158412298  0.070231233
[16] -0.014524737 -0.101196348  0.024949687  0.017255420  0.067038955
[21] -0.088036406
> (mypacf <- c(rpacf$acf))
 [1]  0.004856523  0.038725632 -0.026191115 -0.105521340  0.043213779
 [6] -0.032908862  0.038777053 -0.059301717 -0.020522354  0.064168170
[11] -0.136156755  0.464908032 -0.252264391  0.143707421 -0.081374687
[16]  0.013063603 -0.050713996  0.115271240 -0.022944345 -0.083741336
> 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/3skgy1290793704.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/4lbx11290793704.tab") 
> 
> try(system("convert tmp/1wai71290793704.ps tmp/1wai71290793704.png",intern=TRUE))
character(0)
> try(system("convert tmp/2wai71290793704.ps tmp/2wai71290793704.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.526   0.332   1.363