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(200.7,146.5,143.6,141.5,137.5,138.7,135.5,136.4,112.1,109,123.8,151.2,139.2,115.7,147.6,126.1,122.8,137.3,142,137.4,89.4,108,117.7,127.3,121,104.1,119.5,116.7,96.1,125,118.8,114.9,79.3,90.5,87.8,109.4,88.9,97.4,112,86.8,82.9,105.2,89.1,85.5,87.1,85.2,88.2,104,96.4,82.3,114.1,88.9,93.6,101.8,96.6,93.7,68.4,68.7,81.2,85.1,75.4,71.6,83,72.3,90.2,89,84.9,90.9,46.6,55.4,88.7,76,76.9,72.1,90,92.3,78,93.9,84.5,80.4,60.5,75.3,91.5,105.2,92.7)
> par5 = '12'
> par4 = '0'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1hqc01228248915.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2sav81228248915.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.694871089  0.598578615  0.596587287  0.584859862
 [6]  0.566949455  0.509006911  0.526987609  0.480098839  0.420774751
[11]  0.434358003  0.519652884  0.554851979  0.387166547  0.352010957
[16]  0.311819359  0.295067675  0.306961882  0.236381322  0.231870160
[21]  0.151011289  0.131896827  0.128507793  0.183156317  0.188247072
[26]  0.069489287  0.057417971  0.032256326 -0.007378019  0.035173488
[31] -0.042621343 -0.055071679 -0.108871449 -0.101697135 -0.108837041
[36] -0.051950831 -0.045696887
> (mypacf <- c(rpacf$acf))
 [1]  0.694871089  0.223787782  0.240669139  0.154978145  0.112294415
 [6] -0.010898322  0.121382178 -0.039014827 -0.060819300  0.061758325
[11]  0.240291837  0.176783181 -0.270201513 -0.101333566 -0.177079431
[16] -0.041361042  0.080807602 -0.088246512 -0.011690368 -0.093516619
[21]  0.016892641 -0.089777853  0.070583944  0.059436900 -0.074956770
[26]  0.020271523 -0.019815013 -0.150001438  0.099386175 -0.092287478
[31] -0.004601573  0.006494164  0.056152365 -0.087796603  0.090355531
[36]  0.045147432
> 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/3rz351228248915.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/4nyhg1228248915.tab") 
> 
> system("convert tmp/1hqc01228248915.ps tmp/1hqc01228248915.png")
> system("convert tmp/2sav81228248915.ps tmp/2sav81228248915.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.533   0.318   0.656