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(91.2,80.8,72.3,99.7,90.1,83.1,71.9,78.6,87.2,90.6,80,73.1,85.6,73.8,70.6,91.8,81.3,85.2,69.6,83.3,89.8,99.5,78.9,83.8,92,80.9,74.6,97.9,88.3,88.1,66.4,92.3,95.6,99.7,78.9,79.4,87.8,80.5,71.8,89.2,96.4,83.5,64.3,85.9,89.2,81.8,79.5,68.7,76.4,73.6,57.7,78.3,75.5,62.4,55.6,62.9,66.7,66.8,59.9,52,61.2)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1rh6p1259244502.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2e0y31259244502.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.66823207  0.71094991  0.69120396  0.60518517  0.51041639
 [7]  0.49781351  0.39128020  0.38375040  0.28343906  0.19629064  0.17543008
[13]  0.09417244  0.04879746  0.04900870 -0.00479263 -0.11731510 -0.05053227
[19] -0.16319739 -0.14678443 -0.18857012 -0.19068986 -0.25329083 -0.19456421
[25] -0.35686254 -0.32171016 -0.32357018 -0.36772794 -0.37316983 -0.33894526
[31] -0.32569578 -0.35104726 -0.32743166 -0.30292339 -0.26834941 -0.24767177
[37] -0.20641470
> (mypacf <- c(rpacf$acf))
 [1]  0.668232073  0.477745440  0.289942347 -0.004486104 -0.212148773
 [6] -0.052359569 -0.096760189  0.084044893 -0.067214158 -0.186767873
[11] -0.036104436 -0.033922415  0.058738866  0.116122797  0.016016560
[16] -0.297957360  0.013094426 -0.042124040  0.134162365 -0.008001743
[21] -0.063082122 -0.212082369  0.062624158 -0.188868916 -0.091632405
[26]  0.068523870  0.031519835 -0.024223764  0.012902054  0.176186942
[31] -0.104453445 -0.079055500  0.039444581 -0.008376508  0.104496289
[36] -0.014328288
> 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/3z4oy1259244502.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/4j8x41259244502.tab") 
> 
> system("convert tmp/1rh6p1259244502.ps tmp/1rh6p1259244502.png")
> system("convert tmp/2e0y31259244502.ps tmp/2e0y31259244502.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.552   0.320   0.652