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(99.7,99,98.1,97,98.5,103.8,114.4,124.5,134.2,131.8,125.6,119.9,114.9,115.5,112.5,111.4,115.3,110.8,103.7,111.1,113,111.2,117.6,121.7,127.3,129.8,137.1,141.4,137.4,130.7,117.2,110.8,111.4,108.2,108.8,110.2,109.5,109.5,116,111.2,112.1,114,119.1,114.1,115.1,115.4,110.8,116,119.2,126.5,127.8,131.3,140.3,137.3,143,134.5,139.9,159.3,170.4,175)
> x <- c(92.4,92,95.6,95.8,96.4,99,107,109.7,116.2,115.9,113.8,112.6,113.7,115.9,110.3,111.3,113.4,108.2,104.8,106,110.9,115,118.4,121.4,128.8,131.7,141.7,142.9,139.4,134.7,125,113.6,111.5,108.5,112.3,116.6,115.5,120.1,132.9,128.1,129.3,132.5,131,124.9,120.8,122,122.1,127.4,135.2,137.3,135,136,138.4,134.7,138.4,133.9,133.6,141.2,151.8,155.4)
> 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]  91.4  91.0  94.6  94.8  95.4  98.0 106.0 108.7 115.2 114.9 112.8 111.6
[13] 112.7 114.9 109.3 110.3 112.4 107.2 103.8 105.0 109.9 114.0 117.4 120.4
[25] 127.8 130.7 140.7 141.9 138.4 133.7 124.0 112.6 110.5 107.5 111.3 115.6
[37] 114.5 119.1 131.9 127.1 128.3 131.5 130.0 123.9 119.8 121.0 121.1 126.4
[49] 134.2 136.3 134.0 135.0 137.4 133.7 137.4 132.9 132.6 140.2 150.8 154.4
> y
 [1]  98.7  98.0  97.1  96.0  97.5 102.8 113.4 123.5 133.2 130.8 124.6 118.9
[13] 113.9 114.5 111.5 110.4 114.3 109.8 102.7 110.1 112.0 110.2 116.6 120.7
[25] 126.3 128.8 136.1 140.4 136.4 129.7 116.2 109.8 110.4 107.2 107.8 109.2
[37] 108.5 108.5 115.0 110.2 111.1 113.0 118.1 113.1 114.1 114.4 109.8 115.0
[49] 118.2 125.5 126.8 130.3 139.3 136.3 142.0 133.5 138.9 158.3 169.4 174.0
> postscript(file="/var/www/html/rcomp/tmp/123qp1195832745.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 
 0.170  0.144  0.138  0.143  0.130  0.094  0.062  0.081  0.121  0.211  0.317 
    -3     -2     -1      0      1      2      3      4      5      6      7 
 0.428  0.553  0.704  0.829  0.688  0.510  0.343  0.220  0.123  0.022 -0.042 
     8      9     10     11     12     13     14 
-0.102 -0.107 -0.093 -0.079 -0.044 -0.001  0.042 
> 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/2zxh11195832746.tab") 
> 
> system("convert tmp/123qp1195832745.ps tmp/123qp1195832745.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.647   0.177   0.708