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(97.7,101.5,119.6,108.1,117.8,125.5,89.2,92.3,104.6,122.8,96,94.6,93.3,101.1,114.2,104.7,113.3,118.2,83.6,73.9,99.5,97.7,103,106.3,92.2,101.8,122.8,111.8,106.3,121.5,81.9,85.4,110.9,117.3,106.3,105.5,101.3,105.9,126.3,111.9,108.9,127.2,94.2,85.7,116.2,107.2,110.6,112,104.5,112,132.8,110.8,128.7,136.8,94.9,88.8,123.2,125.3,122.7,125.7,116.3,118.7,142,127.9,131.9,152.3,110.8,99.1,135,133.2,131,133.9,119.9,136.9,148.9,145.1,142.4,159.6,120.7,109,142)
> par5 = '12'
> par4 = '1'
> par3 = '0'
> par2 = '0.3'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/freestat/rcomp/tmp/15hhp1229333781.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/2ymf61229333781.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.382172189  0.393157867  0.273249020  0.263403508
 [6]  0.284821282  0.250361797  0.218107172  0.156324662  0.242932264
[11]  0.197164234  0.120116955 -0.207079076 -0.001510003 -0.064223031
[16]  0.018565363  0.120842196 -0.011901455 -0.023868152  0.042268489
[21]  0.019743796  0.025125967 -0.057432058 -0.020989340  0.105047111
[26]  0.051713244  0.173030463  0.080986062 -0.069260720  0.023726643
[31]  0.032585543 -0.047327227 -0.009417628 -0.019941244  0.009627451
[36] -0.021423518 -0.077130936
> (mypacf <- c(rpacf$acf))
 [1]  0.382172189  0.289365771  0.071424936  0.078880038  0.131614544
 [6]  0.060458390  0.013885728 -0.032664491  0.128045149  0.036031018
[11] -0.095927025 -0.454825617  0.079121402  0.053606084  0.037173476
[16]  0.198538473  0.002398067 -0.071294007  0.100929677 -0.026114911
[21]  0.115167329 -0.036758754 -0.042175238  0.003797515 -0.050530548
[26]  0.071808015  0.061819496 -0.134621497 -0.043005391  0.008289349
[31] -0.082329354 -0.023794954  0.104704174 -0.004368744 -0.115179628
[36] -0.095337837
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 
> #Note: the /var/www/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/freestat/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/freestat/rcomp/tmp/3g6qx1229333781.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/freestat/rcomp/tmp/4yseo1229333781.tab") 
> 
> system("convert tmp/15hhp1229333781.ps tmp/15hhp1229333781.png")
> system("convert tmp/2ymf61229333781.ps tmp/2ymf61229333781.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.813   0.450   1.466