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(2718,2646,2551,2712,2606,2365,3533,3509,2912,3599,2719,2869,4085,2686,2545,3071,3388,2652,3190,2884,3295,3818,3226,3953,3810,2877,3515,3708,3450,3360,4110,4384,3729,4263,3505,3674,3911,2951,3317,3417,3498,2768,2899,3179,3011,3481,3015,2606,3530,2827,3120,2557,3645,2865,2587,2887,3429,2956,3098,2934,3269)
> x <- c(1515,1510,1225,1577,1417,1224,1693,1633,1639,1914,1586,1552,2081,1500,1437,1470,1849,1387,1592,1589,1798,1935,1887,2027,2080,1556,1682,1785,1869,1781,2082,2570,1862,1936,1504,1765,1607,1577,1493,1615,1700,1335,1523,1623,1540,1637,1524,1419,1821,1593,1357,1263,1750,1405,1393,1639,1679,1551,1744,1429,1784)
> 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] 1514 1509 1224 1576 1416 1223 1692 1632 1638 1913 1585 1551 2080 1499 1436
[16] 1469 1848 1386 1591 1588 1797 1934 1886 2026 2079 1555 1681 1784 1868 1780
[31] 2081 2569 1861 1935 1503 1764 1606 1576 1492 1614 1699 1334 1522 1622 1539
[46] 1636 1523 1418 1820 1592 1356 1262 1749 1404 1392 1638 1678 1550 1743 1428
[61] 1783
> y
 [1] 2717 2645 2550 2711 2605 2364 3532 3508 2911 3598 2718 2868 4084 2685 2544
[16] 3070 3387 2651 3189 2883 3294 3817 3225 3952 3809 2876 3514 3707 3449 3359
[31] 4109 4383 3728 4262 3504 3673 3910 2950 3316 3416 3497 2767 2898 3178 3010
[46] 3480 3014 2605 3529 2826 3119 2556 3644 2864 2586 2886 3428 2955 3097 2933
[61] 3268
> postscript(file="/var/www/html/rcomp/tmp/1e7yg1228056523.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 
 0.033  0.042  0.251  0.093  0.097  0.280  0.267  0.131  0.170  0.208  0.283 
    -3     -2     -1      0      1      2      3      4      5      6      7 
 0.468  0.291  0.297  0.843  0.306  0.186  0.236  0.209  0.007 -0.038 -0.031 
     8      9     10     11     12     13     14 
-0.005  0.026 -0.003 -0.202  0.031 -0.112 -0.201 
> 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/289ly1228056523.tab") 
> 
> system("convert tmp/1e7yg1228056523.ps tmp/1e7yg1228056523.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.387   0.166   0.454