R version 2.6.0 (2007-10-03)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> y <- c(112.6,113.8,107.8,103.2,103.3,101.2,107.7,110.4,101.9,115.9,89.9,88.6,117.2,123.9,100,103.6,94.1,98.7,119.5,112.7,104.4,124.7,89.1,97,121.6,118.8,114,111.5,97.2,102.5,113.4,109.8,104.9,126.1,80,96.8,117.2,112.3,117.3,111.1,102.2,104.3,122.9,107.6,121.3,131.5,89,104.4,128.9,135.9,133.3,121.3,120.5,120.4,137.9,126.1,133.2,146.6,103.4,117.2)
> x <- c(88.8,93.4,92.6,90.7,81.6,84.1,88.1,85.3,82.9,84.8,71.2,68.9,94.3,97.6,85.6,91.9,75.8,79.8,99,88.5,86.7,97.9,94.3,72.9,91.8,93.2,86.5,98.9,77.2,79.4,90.4,81.4,85.8,103.6,73.6,75.7,99.2,88.7,94.6,98.7,84.2,87.7,103.3,88.2,93.4,106.3,73.1,78.6,101.6,101.4,98.5,99,89.5,83.5,97.4,87.8,90.4,97.1,79.4,85)
> par7 = '0'
> par6 = '0'
> par5 = '1'
> par4 = '12'
> par3 = '0'
> par2 = '0'
> par1 = '1'
> #'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)
> par5 <- as.numeric(par5)
> par6 <- as.numeric(par6)
> par7 <- as.numeric(par7)
> if (par1 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par1 - 1) / par1
+ }
> if (par5 == 0) {
+ y <- log(y)
+ } else {
+ y <- (y ^ par5 - 1) / par5
+ }
> if (par2 > 0) x <- diff(x,lag=1,difference=par2)
> if (par6 > 0) y <- diff(y,lag=1,difference=par6)
> if (par3 > 0) x <- diff(x,lag=par4,difference=par3)
> if (par7 > 0) x <- diff(y,lag=par4,difference=par7)
> x
 [1]  87.8  92.4  91.6  89.7  80.6  83.1  87.1  84.3  81.9  83.8  70.2  67.9
[13]  93.3  96.6  84.6  90.9  74.8  78.8  98.0  87.5  85.7  96.9  93.3  71.9
[25]  90.8  92.2  85.5  97.9  76.2  78.4  89.4  80.4  84.8 102.6  72.6  74.7
[37]  98.2  87.7  93.6  97.7  83.2  86.7 102.3  87.2  92.4 105.3  72.1  77.6
[49] 100.6 100.4  97.5  98.0  88.5  82.5  96.4  86.8  89.4  96.1  78.4  84.0
> y
 [1] 111.6 112.8 106.8 102.2 102.3 100.2 106.7 109.4 100.9 114.9  88.9  87.6
[13] 116.2 122.9  99.0 102.6  93.1  97.7 118.5 111.7 103.4 123.7  88.1  96.0
[25] 120.6 117.8 113.0 110.5  96.2 101.5 112.4 108.8 103.9 125.1  79.0  95.8
[37] 116.2 111.3 116.3 110.1 101.2 103.3 121.9 106.6 120.3 130.5  88.0 103.4
[49] 127.9 134.9 132.3 120.3 119.5 119.4 136.9 125.1 132.2 145.6 102.4 116.2
> postscript(file="/var/www/html/rcomp/tmp/1b1fd1196517281.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> (r <- ccf(x,y,main='Cross Correlation Function',xlab='Lag (k)'))

Autocorrelations of series 'X', by lag

   -14    -13    -12    -11    -10     -9     -8     -7     -6     -5     -4 
-0.104 -0.078  0.545  0.216 -0.238  0.128 -0.016  0.044  0.592  0.245 -0.037 
    -3     -2     -1      0      1      2      3      4      5      6      7 
 0.217 -0.149 -0.024  0.772  0.203 -0.193  0.124 -0.172 -0.059  0.420  0.044 
     8      9     10     11     12     13     14 
-0.140  0.108 -0.339 -0.180  0.463 -0.006 -0.155 
> dev.off()
null device 
          1 
> load(file='/var/www/html/rcomp/createtable')
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Cross Correlation Function',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) of X series',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) of X series',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) of X series',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,'Box-Cox transformation parameter (lambda) of Y series',header=TRUE)
> a<-table.element(a,par5)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Degree of non-seasonal differencing (d) of Y series',header=TRUE)
> a<-table.element(a,par6)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Degree of seasonal differencing (D) of Y series',header=TRUE)
> a<-table.element(a,par7)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'k',header=TRUE)
> a<-table.element(a,'rho(Y[t],X[t+k])',header=TRUE)
> a<-table.row.end(a)
> mylength <- length(r$acf)
> myhalf <- floor((mylength-1)/2)
> for (i in 1:mylength) {
+ a<-table.row.start(a)
+ a<-table.element(a,i-myhalf-1,header=TRUE)
+ a<-table.element(a,r$acf[i])
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/2fgo71196517281.tab") 
> 
> system("convert tmp/1b1fd1196517281.ps tmp/1b1fd1196517281.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.654   0.179   0.765