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(132.1,125,127.1,101.5,85.7,79.3,70.9,77.1,83.9,96.2,111.7,127.2,143.6,134.9,135.6,105.3,86.4,74.6,67.6,73.4,78.5,98.2,118.6,136.9,137.9,115.6,119.3,98.5,84.3,73.5,60.7,69.5,77.9,113.9,126.3,135.1,130.5,113.1,110,90.8,85.4,72.5,64.7,67.2,77.9,105.2,107.2,120.7,121.3,107.9,105.6,81.3,71.7,64.8,57.3,61.9,70.1,88.8,106.8,110.7,114.1,108,111.5,86.8,78.4,68,57.3,65.3,73.3,88.6,101.3,122.9,126.6,114.1,124.7,93.3,77.2,66.5,57.9,63.7,65.8,85,101,105.3,121,117.9,106,86.6,79.9,65.2,61.2,67.6,78.9,95.5,113.1,124.4,122,110.3,114,93.3,75.5,65.4,59.2,63.8,74.2,91.7,107,120.7,127.4,119.7,112.7,84.4,75.6,66.5,59.9,64.8,74.3,100.4,105.9,131.1)
> par7 = '0.95'
> par6 = 'White Noise'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1gd3y1290438121.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2gd3y1290438121.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.529416377  0.241611406  0.224703670  0.110260160
 [6]  0.046482401  0.060302518  0.060402346 -0.041743898 -0.032674262
[11]  0.113217042 -0.014294570 -0.310765646 -0.162817178 -0.112621321
[16] -0.260876032 -0.135713581 -0.075517560 -0.048716546  0.022312737
[21]  0.168768995  0.230128805  0.054434876  0.004324396  0.035942864
[26] -0.045156833 -0.003238669  0.157149381  0.077933287  0.107585373
[31]  0.141421739  0.105731809  0.039019999 -0.097664467 -0.035223135
[36] -0.069616125 -0.158967265
> (mypacf <- c(rpacf$acf))
 [1]  0.52941638 -0.05372976  0.16493398 -0.09911069  0.02493558  0.02176041
 [7]  0.02707330 -0.12211762  0.04906832  0.15774678 -0.18720442 -0.35798226
[13]  0.22011227 -0.07002119 -0.19603294  0.11792009 -0.02349870  0.12517738
[19]  0.05685640  0.08913381  0.14389620 -0.05079205 -0.14905618 -0.11856870
[25]  0.11650789  0.02633188 -0.01294823 -0.03267928  0.17983121 -0.06066501
[31] -0.02489008  0.03376818 -0.01976376  0.08228660 -0.13618525 -0.14768592
> 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/3um171290438121.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/4g5hv1290438121.tab") 
> 
> try(system("convert tmp/1gd3y1290438121.ps tmp/1gd3y1290438121.png",intern=TRUE))
character(0)
> try(system("convert tmp/2gd3y1290438121.ps tmp/2gd3y1290438121.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.530   0.313   1.198