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(104.2,103.2,112.7,106.4,102.6,110.6,95.2,89.0,112.5,116.8,107.2,113.6,101.8,102.6,122.7,110.3,110.5,121.6,100.3,100.7,123.4,127.1,124.1,131.2,111.6,114.2,130.1,125.9,119.0,133.8,107.5,113.5,134.4,126.8,135.6,139.9,129.8,131.0,153.1,134.1,144.1,155.9,123.3,128.1,144.3,153.0,149.9,150.9,141.0,138.9,157.4,142.9,151.7,161.0,138.5,135.9,151.5,164.0,159.1,157.0,142.1,144.8,152.1,154.6,148.7,157.7,146.7)
> par5 = '12'
> par4 = '1'
> par3 = '0'
> par2 = '0.5'
> par1 = '48'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/17pr31228587919.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/28qct1228587919.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.359016097  0.410017090  0.353978244  0.260115876
 [6]  0.225066130  0.114459158  0.027254744 -0.043524823  0.138700933
[11] -0.152320300 -0.032302188 -0.072538924  0.023953302  0.037289173
[16] -0.020476185 -0.010663295 -0.047567663  0.072708331 -0.192439880
[21] -0.099576859 -0.089060525 -0.188342562 -0.123178780 -0.333884841
[26] -0.260053344 -0.176321119 -0.166501823 -0.273304656 -0.108345926
[31] -0.154225272 -0.028283094 -0.004987081 -0.177940895 -0.040737458
[36] -0.038641668 -0.027501985 -0.046983933 -0.021008896 -0.074212363
[41] -0.028204616 -0.050175301 -0.108557907 -0.044272577  0.035096446
[46] -0.012673233  0.042386043  0.103781958  0.059764349
> (mypacf <- c(rpacf$acf))
 [1]  0.359016097  0.322720848  0.177373129  0.021155251  0.002778716
 [6] -0.090242330 -0.128125080 -0.118767692  0.242753817 -0.191277458
[11]  0.007995113 -0.009131046  0.163858131  0.042996422 -0.050004309
[16] -0.056229751 -0.074685075  0.021604273 -0.208158952 -0.063238078
[21]  0.110262744 -0.145823759  0.018242279 -0.254005890 -0.016185589
[26]  0.111326726 -0.043452127 -0.050355573  0.043459944 -0.072667944
[31]  0.125392947 -0.056935738 -0.101690981 -0.103185414 -0.013835209
[36] -0.014076530  0.141790934 -0.001216347 -0.088182635 -0.067516013
[41] -0.069738142  0.010396001 -0.041009491  0.023922396  0.027942957
[46]  0.038024133  0.057318166 -0.034581310
> 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/3dz931228587919.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/4ly7c1228587919.tab") 
> 
> system("convert tmp/17pr31228587919.ps tmp/17pr31228587919.png")
> system("convert tmp/28qct1228587919.ps tmp/28qct1228587919.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.629   0.360   0.903