R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(89.8,103.3,107.9,101,94.6,94.2,92.3,107.1,102.6,103.1,104.1,92.7,87,109.3,113.9,103.3,100.8,97.4,98.9,110.8,103.5,99.8,104.9,95.2,85.7,110,113.7,101.1,103.6,96.2,98.3,119.7,109.4,103.5,118.2,98.7,96.8,121.8,124,119.6,122.5,109.7,111.6,131.2,124.4,116.9,131.8,107.4,111,134,126.2,131.2,130.1,123.1,126.3,148.6,130.1,142.3,154.4,121.6,124.8,143.6,146.9,144.6,137.1,134.7,130.8,153.5,137.6,146.5,156.7,137.6,131.4,147.4,158.5,151.5,142.5,131.3,133.4,136.9,143.2,136.4,145.9,138.8,122.9)
> par5 = '12'
> par4 = '1'
> par3 = '1'
> par2 = '1.0'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/13i2a1228260257.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2mm4p1228260257.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.563465634  0.046070608  0.188927589 -0.158923566
 [6]  0.065991870  0.067557374 -0.096561747 -0.136722037  0.316909072
[11] -0.212020968 -0.014064372  0.060472910 -0.060292928  0.101618370
[16] -0.036555108 -0.052325336  0.005620974  0.201966403 -0.202181962
[21]  0.050502586  0.120380950 -0.282547763  0.390417107 -0.291246574
[26]  0.012695228  0.174642811 -0.084665959 -0.094630738  0.146876222
[31] -0.125449925  0.023153724  0.139122667 -0.216775169  0.072559594
[36]  0.087515242 -0.112162265
> (mypacf <- c(rpacf$acf))
 [1] -0.563465634 -0.397685472  0.001963737  0.015795030  0.039775035
 [6]  0.125651405  0.059398788 -0.316613584  0.024056846  0.084563580
[11] -0.004983768 -0.139516903 -0.076014033  0.112735627  0.082557245
[16] -0.017647222 -0.027922901  0.233540271  0.068016550 -0.075548042
[21]  0.143101803 -0.166609280  0.114569288 -0.068969589 -0.012686749
[26]  0.156456614  0.096964631 -0.124175598  0.034396541 -0.087573277
[31]  0.039764437 -0.040147162 -0.058588028 -0.036107957 -0.017728499
[36] -0.141195783
> 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/33qs61228260257.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/4fbyl1228260258.tab") 
> 
> system("convert tmp/13i2a1228260257.ps tmp/13i2a1228260257.png")
> system("convert tmp/2mm4p1228260257.ps tmp/2mm4p1228260257.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.548   0.308   0.653