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(77.7,78.89,90.2,77.26,80.76,84.93,66.08,71.56,80.78,83.31,85.3,73.94,78.7,81.32,86.8,80.76,84.46,84.21,73.64,70.85,83.78,89.12,78.93,80.54,81.67,82.53,88.2,89.17,83.7,89.79,77.58,70.11,88.07,92.49,83.33,90.05,82.91,88.52,96.42,90.87,86.4,97.47,85.67,79.91,95.73,94.6,91.92,90.38,82.31,87.82,101.29,89.58,87.83,99.95,82.67,84.65,97.83,97.47,97.66,99.14,90.02,100.97,112.48,91.44,108.46,98.41,89.35,92.8,100.43,104.85,108.36,101.54,105.26,101.8,112.36,99.5,104.65,101.13,89.8,87.84,96.41,103.26,100.31,92.33,96.19,96.37,103.06,101.5,101.88,100.85,95.56,87.6,101.18,110.8,101.1,104.42,103.27,100.87,107.8,104.99,100.76,104.46,100.62,87.84,107.31,115.61,103.43,109.93,104.43,106.69,123.1,109.42,101.46,124.48,101.49,100.46,115.51,113.37,115.4,118.2,106.82,110.17,119.91,112.31,110.62,120.37,97.94,103.02,116.36,108.51,122.54,121.32,112.25,109.89,129.58,107.2,118.68,118.25,102.67,104.19,117.74,123.3,122.2,112.71,118.53,115.32,127.36,110.45,122.22,123.39,116.2,109.22,116.98,132.89,125.24,115.68)
> par4 = '12'
> par3 = '1'
> par2 = '0'
> par1 = '0.3'
> #'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!)
> par1 <- as.numeric(par1)
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> if (par1 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par1 - 1) / par1
+ }
> if (par2 > 0) x <- diff(x,lag=1,difference=par2)
> if (par3 > 0) x <- diff(x,lag=par4,difference=par3)
> postscript(file="/var/www/html/rcomp/tmp/1q8ve1229015458.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> r <- spectrum(x,main='Raw Periodogram')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2pio31229015458.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> cpgram(x,main='Cumulative Periodogram')
> dev.off()
null device 
          1 
> 
> #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,'Raw Periodogram',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Parameter',header=TRUE)
> a<-table.element(a,'Value',header=TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Box-Cox transformation parameter (lambda)',header=TRUE)
> a<-table.element(a,par1)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Degree of non-seasonal differencing (d)',header=TRUE)
> a<-table.element(a,par2)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Degree of seasonal differencing (D)',header=TRUE)
> a<-table.element(a,par3)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Period (s)',header=TRUE)
> a<-table.element(a,par4)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Frequency (Period)',header=TRUE)
> a<-table.element(a,'Spectrum',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:length(r$freq)) {
+ a<-table.row.start(a)
+ mylab <- round(r$freq[i],4)
+ mylab <- paste(mylab,' (',sep='')
+ mylab <- paste(mylab,round(1/r$freq[i],4),sep='')
+ mylab <- paste(mylab,')',sep='')
+ a<-table.element(a,mylab,header=TRUE)
+ a<-table.element(a,round(r$spec[i],6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/3a05w1229015458.tab") 
> 
> system("convert tmp/1q8ve1229015458.ps tmp/1q8ve1229015458.png")
> system("convert tmp/2pio31229015458.ps tmp/2pio31229015458.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.533   0.317   0.652