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(0,0,0,0,-0.2,-0.1,-0.1,1.1,-0.4,-0.1,0.1,-1.1,0.4,0,0.1,-0.1,0.1,0.2,0.1,0.6,0,0,0,-1,0.4,0.5,-0.8,-0.1,0.1,-1.2,1.5,0.4,0,1,-0.3,-1.3,-0.3,0.5,0.8,-0.9,-1,0.8,-0.5,1.2,0.2,0.3,-0.2,-1.5,-0.3,0.2,0.9,-0.4,-0.3,0.4,0.5,-0.3,1.8,0.1,0.2,-1.9,2,0,0.9,-0.2,0,0,0,-0.1,0,-0.1,0,-0.4)
> x <- c(0,0,0.1,-0.1,0,-0.2,0.2,-0.1,-0.7,-0.5,0,0.2,0.3,0.6,0.7,-0.4,0.4,-2.1,0.2,0.4,0.1,-0.2,-0.4,-1.6,-0.1,0.2,0,-0.1,0.2,0.1,0.7,1,0.3,0.3,-0.2,0.6,0.1,0.3,0.2,0.2,0.2,-0.1,0.1,0.1,-0.7,-0.2,-0.3,0.1,0,0.3,-0.5,0.7,0.5,0.4,0.1,-0.1,-0.4,0,0,0.2,0,0.2,0.5,1.1,0.3,0.1,1.2,0.5,-0.1,0,0.5,0.6)
> par7 = '0'
> par6 = '0'
> par5 = '1'
> par4 = '1'
> 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] -1.0 -1.0 -0.9 -1.1 -1.0 -1.2 -0.8 -1.1 -1.7 -1.5 -1.0 -0.8 -0.7 -0.4 -0.3
[16] -1.4 -0.6 -3.1 -0.8 -0.6 -0.9 -1.2 -1.4 -2.6 -1.1 -0.8 -1.0 -1.1 -0.8 -0.9
[31] -0.3  0.0 -0.7 -0.7 -1.2 -0.4 -0.9 -0.7 -0.8 -0.8 -0.8 -1.1 -0.9 -0.9 -1.7
[46] -1.2 -1.3 -0.9 -1.0 -0.7 -1.5 -0.3 -0.5 -0.6 -0.9 -1.1 -1.4 -1.0 -1.0 -0.8
[61] -1.0 -0.8 -0.5  0.1 -0.7 -0.9  0.2 -0.5 -1.1 -1.0 -0.5 -0.4
> y
 [1] -1.0 -1.0 -1.0 -1.0 -1.2 -1.1 -1.1  0.1 -1.4 -1.1 -0.9 -2.1 -0.6 -1.0 -0.9
[16] -1.1 -0.9 -0.8 -0.9 -0.4 -1.0 -1.0 -1.0 -2.0 -0.6 -0.5 -1.8 -1.1 -0.9 -2.2
[31]  0.5 -0.6 -1.0  0.0 -1.3 -2.3 -1.3 -0.5 -0.2 -1.9 -2.0 -0.2 -1.5  0.2 -0.8
[46] -0.7 -1.2 -2.5 -1.3 -0.8 -0.1 -1.4 -1.3 -0.6 -0.5 -1.3  0.8 -0.9 -0.8 -2.9
[61]  1.0 -1.0 -0.1 -1.2 -1.0 -1.0 -1.0 -1.1 -1.0 -1.1 -1.0 -1.4
> postscript(file="/var/www/html/rcomp/tmp/1eegw1196272365.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

   -15    -14    -13    -12    -11    -10     -9     -8     -7     -6     -5 
-0.055 -0.001  0.006  0.109  0.059 -0.213  0.014 -0.082 -0.126  0.146  0.010 
    -4     -3     -2     -1      0      1      2      3      4      5      6 
-0.131  0.187 -0.001  0.053  0.016  0.010 -0.026 -0.022 -0.072 -0.033  0.213 
     7      8      9     10     11     12     13     14     15 
-0.011 -0.022  0.133  0.104  0.027 -0.001  0.039 -0.015  0.016 
> 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/2b4im1196272365.tab") 
> 
> system("convert tmp/1eegw1196272365.ps tmp/1eegw1196272365.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.660   0.200   0.726