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Type 'q()' to quit R. > y <- c(374556,375021,375787,372720,364431,370490,376974,377632,378205,370861,369167,371551,382842,381903,384502,392058,384359,388884,386586,387495,385705,378670,377367,376911,389827,387820,387267,380575,372402,376740,377795,376126,370804,367980,367866,366121,379421,378519,372423,355072,344693,342892,344178,337606,327103,323953,316532,306307,327225,329573,313761,307836,300074,304198,306122,300414,292133,290616,280244,285179,305486) > x <- c(150739,159129,157928,147768,137507,136919,136151,133001,125554,119647,114158,116193,152803,161761,160942,149470,139208,134588,130322,126611,122401,117352,112135,112879,148729,157230,157221,146681,136524,132111,125326,122716,116615,113719,110737,112093,143565,149946,149147,134339,122683,115614,116566,111272,104609,101802,94542,93051,124129,130374,123946,114971,105531,104919,104782,101281,94545,93248,84031,87486,115867) > par7 = '0' > par6 = '1' > par5 = '1' > par4 = '12' > par3 = '1' > par2 = '1' > 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] 568 382 -1312 -1 -4032 -3498 -561 3237 858 272 -1291 -760 [13] -457 810 932 105 207 -2519 1101 -1891 2153 2235 612 -4378 [25] -2120 -790 -4268 -1499 -2656 7737 -2684 -562 89 -4278 -2847 -394 [37] -136 -5629 5833 2216 6457 -1089 1793 -73 1510 -1957 4946 -2697 > y [1] 465 766 -3067 -8289 6059 6484 658 573 -7344 -1694 [11] 2384 11291 -939 2599 7556 -7699 4525 -2298 909 -1790 [21] -7035 -1303 -456 12916 -2007 -553 -6692 -8173 4338 1055 [31] -1669 -5322 -2824 -114 -1745 13300 -902 -6096 -17351 -10379 [41] -1801 1286 -6572 -10503 -3150 -7421 -10225 20918 2348 -15812 [51] -5925 -7762 4124 1924 -5708 -8281 -1517 -10372 4935 20307 > postscript(file="/var/www/html/rcomp/tmp/1pdbj1227967391.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 -13 -12 -11 -10 -9 -8 -7 -6 -5 -4 -3 -0.011 0.060 0.048 -0.104 0.074 0.037 0.078 -0.005 0.022 0.054 0.087 -2 -1 0 1 2 3 4 5 6 7 8 -0.138 0.114 -0.316 -0.159 -0.128 -0.003 0.007 -0.007 0.093 0.027 -0.047 9 10 11 12 13 -0.008 -0.012 0.103 -0.233 -0.053 > 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/2gtlk1227967391.tab") > > system("convert tmp/1pdbj1227967391.ps tmp/1pdbj1227967391.png") > > > proc.time() user system elapsed 0.379 0.173 0.461