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(104.3,119.8,116.8,118.2,107.4,110.8,94.8,96.5,113.4,109.8,118.7,117.2,110.3,111.6,128.1,121.3,107.3,120.5,98.5,97.7,113.2,114.6,118.3,123.9,113.6,117.5,130.1,124.7,114.2,127.3,105.9,101.5,120.2,117.1,131.1,130,120.6,123.1,135.3,134.1,123.7,134.6,108.3,110.4,127.8,126.6,131.4,141.1,127,127.3,143.6,149.4,126.6,136.5,116,118,131.4,140.7,144.9,143.9,127.1)
> par5 = '12'
> par4 = '1'
> par3 = '0'
> par2 = '-0.1'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1nvcz1229625216.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2nidj1229625216.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.167532466 -0.056632944  0.144549223  0.140095243
 [6] -0.120153527  0.167539873  0.291567304 -0.091862731  0.023765773
[11] -0.034983571  0.217515107 -0.184500351  0.094661317  0.022529618
[16] -0.016230999 -0.083966085  0.007998548 -0.009557505 -0.112628774
[21]  0.060673431 -0.194979901  0.062433227 -0.025688771 -0.050007214
[26] -0.115112500  0.020371925 -0.037517184 -0.052080574 -0.008532050
[31] -0.040748753 -0.100847753 -0.175809238  0.170476277 -0.005598076
[36] -0.149306756 -0.023523316  0.043864414 -0.166737737 -0.016657433
[41]  0.176420943 -0.014078947 -0.128135364  0.063398324 -0.035418040
[46] -0.098319689  0.028155452  0.089288481 -0.008156231
> (mypacf <- c(rpacf$acf))
 [1] -0.167532466 -0.087146009  0.124031469  0.191619144 -0.048416051
 [6]  0.143922635  0.324613377  0.047933568  0.031980562 -0.186272849
[11]  0.147187062 -0.142119475 -0.053052698 -0.111760346 -0.046655298
[16] -0.025195215 -0.068381738 -0.092144114 -0.038314790  0.034619854
[21] -0.155116770 -0.002198232  0.104303502  0.013258820 -0.029858878
[26] -0.032795982  0.060630259  0.092375392 -0.057589094 -0.051354461
[31] -0.151639471 -0.143403636  0.057030310  0.047140579 -0.099999845
[36] -0.055813405  0.003241972 -0.019506949  0.004263476  0.087230364
[41]  0.132293257 -0.009820326  0.086025269 -0.105807106 -0.067566807
[46] -0.069162695 -0.072777825 -0.036923548
> 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/310o21229625216.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/4hnr81229625216.tab") 
> 
> system("convert tmp/1nvcz1229625216.ps tmp/1nvcz1229625216.png")
> system("convert tmp/2nidj1229625216.ps tmp/2nidj1229625216.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.596   0.337   0.731