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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> y <- c(118.3,127.3,112.3,114.9,108.2,105.4,122.1,113.5,110,125.3,114.3,115.6,127.1,123,122.2,126.4,112.7,105.8,120.9,116.3,115.7,127.9,108.3,121.1,128.6,123.1,127.7,126.6,118.4,110,129.6,115.8,125.9,128.4,114,125.6,128.5,136.6,133.1,124.6,123.5,117.2,135.5,124.8,127.8,133.1,125.7,128.4,131.9,146.3,140.6,129.5,132.4,125.9,126.9,135.8,129.5,130.2,133.8,123.3,140.6)
> x <- c(8.4,8.4,8.4,8.6,8.9,8.8,8.3,7.5,7.2,7.5,8.8,9.3,9.3,8.7,8.2,8.3,8.5,8.6,8.6,8.2,8.1,8,8.6,8.7,8.8,8.5,8.4,8.5,8.7,8.7,8.6,8.5,8.3,8.1,8.2,8.1,8.1,7.9,7.9,7.9,8,8,7.9,8,7.7,7.2,7.5,7.3,7,7,7,7.2,7.3,7.1,6.8,6.6,6.2,6.2,6.8,6.9,6.8)
> 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: Wessa P., (2008), Cross Correlation Function (v1.0.6) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_cross.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> 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) y <- diff(y,lag=par4,difference=par7)
> x
 [1] 7.4 7.4 7.4 7.6 7.9 7.8 7.3 6.5 6.2 6.5 7.8 8.3 8.3 7.7 7.2 7.3 7.5 7.6 7.6
[20] 7.2 7.1 7.0 7.6 7.7 7.8 7.5 7.4 7.5 7.7 7.7 7.6 7.5 7.3 7.1 7.2 7.1 7.1 6.9
[39] 6.9 6.9 7.0 7.0 6.9 7.0 6.7 6.2 6.5 6.3 6.0 6.0 6.0 6.2 6.3 6.1 5.8 5.6 5.2
[58] 5.2 5.8 5.9 5.8
> y
 [1] 117.3 126.3 111.3 113.9 107.2 104.4 121.1 112.5 109.0 124.3 113.3 114.6
[13] 126.1 122.0 121.2 125.4 111.7 104.8 119.9 115.3 114.7 126.9 107.3 120.1
[25] 127.6 122.1 126.7 125.6 117.4 109.0 128.6 114.8 124.9 127.4 113.0 124.6
[37] 127.5 135.6 132.1 123.6 122.5 116.2 134.5 123.8 126.8 132.1 124.7 127.4
[49] 130.9 145.3 139.6 128.5 131.4 124.9 125.9 134.8 128.5 129.2 132.8 122.3
[61] 139.6
> postscript(file="/var/www/html/rcomp/tmp/15gps1229596302.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> (r <- ccf(x,y,main='Cross Correlation Function',ylab='CCF',xlab='Lag (k)'))

Autocorrelations of series 'X', by lag

   -14    -13    -12    -11    -10     -9     -8     -7     -6     -5     -4 
 0.047 -0.028 -0.115 -0.127 -0.122 -0.077 -0.109 -0.266 -0.353 -0.438 -0.457 
    -3     -2     -1      0      1      2      3      4      5      6      7 
-0.417 -0.421 -0.486 -0.569 -0.500 -0.482 -0.404 -0.373 -0.466 -0.528 -0.592 
     8      9     10     11     12     13     14 
-0.586 -0.490 -0.450 -0.413 -0.389 -0.321 -0.275 
> 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,'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/2l7r71229596303.tab") 
> 
> system("convert tmp/15gps1229596302.ps tmp/15gps1229596302.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.399   0.169   0.455