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(95.9,95.3,100.4,97.3,82.3,97.0,93.5,90.9,107.8,110.9,98.1,106.5,93.4,95.7,109.0,97.6,92.7,107.5,91.7,95.7,111.4,106.0,104.8,108.7,97.3,97.1,106.1,98.6,98.5,105.5,86.2,98.3,111.3,105.0,105.7,103.5,96.9,98.1,111.7,94.7,104.2,109.7,91.3,102.6,114.2,115.8,113.5,107.1,104.5,101.9,116.0,102.0,108.1,112.9,104.5,109.1,113.4,123.9,117.7,108.3)
> par5 = '12'
> par4 = '1'
> par3 = '1'
> par2 = '2.0'
> par1 = '60'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1oxej1229684953.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2dk541229684953.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.488594364 -0.190774916  0.400827887 -0.228304407
 [6] -0.012619778  0.172617935 -0.221657281  0.037882490  0.190692839
[11] -0.153650781 -0.030183316  0.123377140 -0.207857826  0.248057585
[16] -0.123134759 -0.124097184  0.165426076  0.021201211 -0.173092918
[21]  0.053075064  0.103314708 -0.180899487  0.134744387  0.047086825
[26] -0.237871535  0.274722242 -0.105033072 -0.088534225  0.158251380
[31] -0.084079456  0.015049220  0.110383913 -0.148193118  0.007933487
[36]  0.161910959 -0.204691031  0.049607681  0.154402237 -0.193519998
[41]  0.071587719  0.103519904 -0.135833145  0.048674486  0.010881374
[46] -0.026735338 -0.005870817
> (mypacf <- c(rpacf$acf))
 [1] -0.488594364 -0.564183848 -0.039751044 -0.088454593  0.004466722
 [6]  0.084931514 -0.094822083 -0.168629232  0.018755179  0.106732488
[11]  0.037662728  0.013498567 -0.273039361  0.079977497 -0.045670249
[16] -0.014802903 -0.135421515  0.042658421 -0.111291800 -0.211010643
[21] -0.035825071 -0.151249535 -0.050815709  0.001959794 -0.096355717
[26]  0.028936216 -0.071305204 -0.061246751  0.030804705  0.016843440
[31]  0.107436100  0.111815949  0.031682875 -0.042238281 -0.029262134
[36] -0.097215563 -0.059982532  0.010268712  0.047780787 -0.110833771
[41]  0.005775607  0.048963181  0.119405055 -0.021152939  0.048382828
[46]  0.007823450
> 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/31wjo1229684953.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/4nvmh1229684953.tab") 
> 
> system("convert tmp/1oxej1229684953.ps tmp/1oxej1229684953.png")
> system("convert tmp/2dk541229684953.ps tmp/2dk541229684953.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.598   0.313   0.766