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Type 'q()' to quit R. > y <- c(97.4,97,105.4,102.7,98.1,104.5,87.4,89.9,109.8,111.7,98.6,96.9,95.1,97,112.7,102.9,97.4,111.4,87.4,96.8,114.1,110.3,103.9,101.6,94.6,95.9,104.7,102.8,98.1,113.9,80.9,95.7,113.2,105.9,108.8,102.3,99,100.7,115.5,100.7,109.9,114.6,85.4,100.5,114.8,116.5,112.9,102,106,105.3,118.8,106.1,109.3,117.2,92.5,104.2,112.5,122.4,113.3,100,110.7,112.8,109.8,117.3,109.1) > x <- c(82.7,88.9,105.9,100.8,94,105,58.5,87.6,113.1,112.5,89.6,74.5,82.7,90.1,109.4,96,89.2,109.1,49.1,92.9,107.7,103.5,91.1,79.8,71.9,82.9,90.1,100.7,90.7,108.8,44.1,93.6,107.4,96.5,93.6,76.5,76.7,84,103.3,88.5,99,105.9,44.7,94,107.1,104.8,102.5,77.7,85.2,91.3,106.5,92.4,97.5,107,51.1,98.6,102.2,114.3,99.4,72.5,92.3,99.4,85.9,109.4,97.6) > par7 = '0' > par6 = '0' > par5 = '1' > par4 = '1' > par3 = '2' > par2 = '2' > 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] 53.3 -0.9 -94.8 208.4 -212.3 56.7 26.3 26.3 -14.6 -39.6 [11] 36.8 -57.3 83.9 -19.2 -126.7 290.3 -316.5 142.8 0.8 -1.5 [21] -7.0 13.2 -38.2 29.9 -31.2 72.7 -159.6 307.9 -346.9 160.9 [31] 21.7 -54.9 53.7 -41.7 15.1 -51.0 105.5 -88.3 -35.6 243.1 [41] -325.3 167.5 -5.4 -37.9 77.3 -88.5 44.2 -48.9 86.9 -63.3 [51] -55.0 238.6 -316.1 199.7 -87.9 50.5 43.7 -118.1 51.5 65.5 [61] -129.9 > y [1] 96.4 96.0 104.4 101.7 97.1 103.5 86.4 88.9 108.8 110.7 97.6 95.9 [13] 94.1 96.0 111.7 101.9 96.4 110.4 86.4 95.8 113.1 109.3 102.9 100.6 [25] 93.6 94.9 103.7 101.8 97.1 112.9 79.9 94.7 112.2 104.9 107.8 101.3 [37] 98.0 99.7 114.5 99.7 108.9 113.6 84.4 99.5 113.8 115.5 111.9 101.0 [49] 105.0 104.3 117.8 105.1 108.3 116.2 91.5 103.2 111.5 121.4 112.3 99.0 [61] 109.7 111.8 108.8 116.3 108.1 > postscript(file="/var/www/html/rcomp/tmp/1wj7k1228002747.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 0.451 -0.312 -0.013 0.158 -0.209 0.158 -0.046 0.047 -0.086 0.092 -0.086 -3 -2 -1 0 1 2 3 4 5 6 7 -0.221 0.580 -0.433 0.030 0.163 -0.237 0.152 -0.025 -0.024 -0.015 0.082 8 9 10 11 12 13 14 -0.149 -0.085 0.395 -0.368 0.087 0.095 -0.205 > 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/2ldw31228002747.tab") > > system("convert tmp/1wj7k1228002747.ps tmp/1wj7k1228002747.png") > > > proc.time() user system elapsed 0.387 0.181 0.480