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(4.76,4.83,4.81,4.77,4.77,4.77,4.79,4.63,4.53,4.52,4.51,4.06,3.76,3.48,3.35,3.31,3.3,3.3,3.3,3.32,3.34,3.32,3.29,3.29,3.29,3.28,3.02,2.84,2.78,2.63,2.54,2.56,2.19,2.09,2.06,2.08,2.05,2.03,2.04,2.03,2.01,2.01,2.01,2.01,2.01,2.01,2.02,2.02,2.03,2.05,2.08,2.07,2.06,2.05,2.05,2.05,2.05,2.05,2.06,2.06,2.07,2.07,2.3,2.31,2.31,2.53,2.58,2.59,2.73,2.82,3,3.04,3.23,3.32,3.49,3.57,3.56,3.72,3.82,3.82,3.98,4.06,4.08,4.19,4.16)
> x <- c(1.5,1.4,1.6,1.6,1.6,1.4,1.7,1.8,1.9,2.2,2.1,2.4,2.6,2.8,2.7,2.6,2.9,2.8,2.2,2.2,2.2,2,2,1.7,1.4,1.3,1.4,1.3,1.3,1.4,2,1.7,1.8,1.7,1.6,1.7,1.9,1.8,1.7,1.6,1.8,1.6,1.5,1.5,1.3,1.4,1.4,1.3,1.3,1.2,1.1,1.4,1.2,1.5,1.1,1.3,1.5,1.1,1.4,1.3,1.5,1.6,1.7,1.1,1.6,1.3,1.7,1.6,1.7,1.9,1.8,1.9,1.6,1.5,1.6,1.6,1.7,2,2,1.9,1.7,1.8,1.9,1.7,2)
> 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] 0.5 0.4 0.6 0.6 0.6 0.4 0.7 0.8 0.9 1.2 1.1 1.4 1.6 1.8 1.7 1.6 1.9 1.8 1.2
[20] 1.2 1.2 1.0 1.0 0.7 0.4 0.3 0.4 0.3 0.3 0.4 1.0 0.7 0.8 0.7 0.6 0.7 0.9 0.8
[39] 0.7 0.6 0.8 0.6 0.5 0.5 0.3 0.4 0.4 0.3 0.3 0.2 0.1 0.4 0.2 0.5 0.1 0.3 0.5
[58] 0.1 0.4 0.3 0.5 0.6 0.7 0.1 0.6 0.3 0.7 0.6 0.7 0.9 0.8 0.9 0.6 0.5 0.6 0.6
[77] 0.7 1.0 1.0 0.9 0.7 0.8 0.9 0.7 1.0
> y
 [1] 3.76 3.83 3.81 3.77 3.77 3.77 3.79 3.63 3.53 3.52 3.51 3.06 2.76 2.48 2.35
[16] 2.31 2.30 2.30 2.30 2.32 2.34 2.32 2.29 2.29 2.29 2.28 2.02 1.84 1.78 1.63
[31] 1.54 1.56 1.19 1.09 1.06 1.08 1.05 1.03 1.04 1.03 1.01 1.01 1.01 1.01 1.01
[46] 1.01 1.02 1.02 1.03 1.05 1.08 1.07 1.06 1.05 1.05 1.05 1.05 1.05 1.06 1.06
[61] 1.07 1.07 1.30 1.31 1.31 1.53 1.58 1.59 1.73 1.82 2.00 2.04 2.23 2.32 2.49
[76] 2.57 2.56 2.72 2.82 2.82 2.98 3.06 3.08 3.19 3.16
> postscript(file="/var/www/html/rcomp/tmp/1hvq81196413094.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

   -16    -15    -14    -13    -12    -11    -10     -9     -8     -7     -6 
-0.103 -0.040  0.023  0.079  0.124  0.156  0.186  0.214  0.236  0.261  0.283 
    -5     -4     -3     -2     -1      0      1      2      3      4      5 
 0.295  0.307  0.318  0.334  0.354  0.383  0.427  0.480  0.523  0.572  0.622 
     6      7      8      9     10     11     12     13     14     15     16 
 0.680  0.713  0.728  0.739  0.728  0.713  0.672  0.604  0.524  0.445  0.368 
> 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/24lir1196413095.tab") 
> 
> system("convert tmp/1hvq81196413094.ps tmp/1hvq81196413094.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.632   0.186   0.731