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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 = '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] 150738 159128 157927 147767 137506 136918 136150 133000 125553 119646 [11] 114157 116192 152802 161760 160941 149469 139207 134587 130321 126610 [21] 122400 117351 112134 112878 148728 157229 157220 146680 136523 132110 [31] 125325 122715 116614 113718 110736 112092 143564 149945 149146 134338 [41] 122682 115613 116565 111271 104608 101801 94541 93050 124128 130373 [51] 123945 114970 105530 104918 104781 101280 94544 93247 84030 87485 [61] 115866 > y [1] 374555 375020 375786 372719 364430 370489 376973 377631 378204 370860 [11] 369166 371550 382841 381902 384501 392057 384358 388883 386585 387494 [21] 385704 378669 377366 376910 389826 387819 387266 380574 372401 376739 [31] 377794 376125 370803 367979 367865 366120 379420 378518 372422 355071 [41] 344692 342891 344177 337605 327102 323952 316531 306306 327224 329572 [51] 313760 307835 300073 304197 306121 300413 292132 290615 280243 285178 [61] 305485 > postscript(file="/var/www/html/rcomp/tmp/1f2n41227966504.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 -3 -2 0.284 0.395 0.458 0.427 0.373 0.336 0.345 0.390 0.440 0.471 0.484 0.525 0.604 -1 0 1 2 3 4 5 6 7 8 9 10 11 0.706 0.758 0.690 0.588 0.494 0.439 0.418 0.402 0.362 0.297 0.262 0.257 0.281 12 13 14 0.292 0.220 0.129 > 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/2syhd1227966504.tab") > > system("convert tmp/1f2n41227966504.ps tmp/1f2n41227966504.png") > > > proc.time() user system elapsed 1.174 0.296 1.230