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Type 'q()' to quit R. > y <- c(100,100,100,100.1,100,100,99.8,100,99.9,99.2,98.7,98.7,98.9,99.2,99.8,100.5,100.1,100.5,98.4,98.6,99,99.1,98.9,98.5,96.9,96.8,97,97,96.9,97.1,97.2,97.9,98.9,99.2,99.5,99.3,99.9,100,100.3,100.5,100.7,100.9,100.8,100.9,101,100.3,100.1,99.8,99.9,99.9,100.2,99.7,100.4,100.9,101.3,101.4,101.3,100.9,100.9,100.9,101.1,101.1,101.3,101.8,102.9,103.2,103.3,104.5,105,104.9,104.9,105.4,106,105.7,105.9,106.2,106.4,106.9,107.3,107.9,109.2,110.2,110.2,110.5,110.6,110.8,111.3,111.1,111.2,111.2,111.1,111.5,112.1,111.4) > x <- c(101.8,103.4,104.9,105.1,105.6,104.5,105.5,105.1,106.9,106.6,106.6,106.5,109.7,109.5,109.2,109.1,109,109,109,109,109,109,109,109,109,109,109,109,109,109,109,109,109,109,109,109.2,113.3,112.3,112.3,116.3,118.3,119.4,119.4,119.4,120.1,121.7,123.7,123.7,128.5,127.1,122.6,119.8,122.7,123.4,123.8,121.8,121.2,121.2,121.2,121.2,129.6,131,131,129.8,129.8,134.9,131.2,127.1,130.5,130.5,131.7,131.7,131.7,131.7,128.7,125,124.5,123,122.8,123.1,124.8,126.9,131.7,136.8,143.7,150.1,152.7,152.6,150.5,154.9,158,158.1,160.6,160.6) > 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] 100.8 102.4 103.9 104.1 104.6 103.5 104.5 104.1 105.9 105.6 105.6 105.5 [13] 108.7 108.5 108.2 108.1 108.0 108.0 108.0 108.0 108.0 108.0 108.0 108.0 [25] 108.0 108.0 108.0 108.0 108.0 108.0 108.0 108.0 108.0 108.0 108.0 108.2 [37] 112.3 111.3 111.3 115.3 117.3 118.4 118.4 118.4 119.1 120.7 122.7 122.7 [49] 127.5 126.1 121.6 118.8 121.7 122.4 122.8 120.8 120.2 120.2 120.2 120.2 [61] 128.6 130.0 130.0 128.8 128.8 133.9 130.2 126.1 129.5 129.5 130.7 130.7 [73] 130.7 130.7 127.7 124.0 123.5 122.0 121.8 122.1 123.8 125.9 130.7 135.8 [85] 142.7 149.1 151.7 151.6 149.5 153.9 157.0 157.1 159.6 159.6 > y [1] 99.0 99.0 99.0 99.1 99.0 99.0 98.8 99.0 98.9 98.2 97.7 97.7 [13] 97.9 98.2 98.8 99.5 99.1 99.5 97.4 97.6 98.0 98.1 97.9 97.5 [25] 95.9 95.8 96.0 96.0 95.9 96.1 96.2 96.9 97.9 98.2 98.5 98.3 [37] 98.9 99.0 99.3 99.5 99.7 99.9 99.8 99.9 100.0 99.3 99.1 98.8 [49] 98.9 98.9 99.2 98.7 99.4 99.9 100.3 100.4 100.3 99.9 99.9 99.9 [61] 100.1 100.1 100.3 100.8 101.9 102.2 102.3 103.5 104.0 103.9 103.9 104.4 [73] 105.0 104.7 104.9 105.2 105.4 105.9 106.3 106.9 108.2 109.2 109.2 109.5 [85] 109.6 109.8 110.3 110.1 110.2 110.2 110.1 110.5 111.1 110.4 > postscript(file="/var/www/html/rcomp/tmp/1o3v11228934918.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 -16 -15 -14 -13 -12 -11 -10 -9 -8 -7 -6 -5 -4 0.460 0.451 0.443 0.441 0.443 0.453 0.471 0.498 0.533 0.572 0.608 0.641 0.682 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 0.726 0.771 0.818 0.864 0.841 0.810 0.783 0.757 0.725 0.688 0.648 0.605 0.562 10 11 12 13 14 15 16 0.518 0.473 0.428 0.384 0.345 0.314 0.286 > 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/27kds1228934918.tab") > > system("convert tmp/1o3v11228934918.ps tmp/1o3v11228934918.png") > > > proc.time() user system elapsed 1.162 0.296 1.235