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Type 'q()' to quit R. > y <- c(235.1,280.7,264.6,240.7,201.4,240.8,241.1,223.8,206.1,174.7,203.3,220.5,299.5,347.4,338.3,327.7,351.6,396.6,438.8,395.6,363.5,378.8,357,369,464.8,479.1,431.3,366.5,326.3,355.1,331.6,261.3,249,205.5,235.6,240.9,264.9,253.8,232.3,193.8,177,213.2,207.2,180.6,188.6,175.4,199,179.6,225.8,234,200.2,183.6,178.2,203.2,208.5,191.8,172.8,148,159.4,154.5,213.2,196.4,182.8,176.4,153.6,173.2,171,151.2,161.9,157.2,201.7,236.4,356.1,398.3,403.7) > x <- c(9700,9081,9084,9743,8587,9731,9563,9998,9437,10038,9918,9252,9737,9035,9133,9487,8700,9627,8947,9283,8829,9947,9628,9318,9605,8640,9214,9567,8547,9185,9470,9123,9278,10170,9434,9655,9429,8739,9552,9687,9019,9672,9206,9069,9788,10312,10105,9863,9656,9295,9946,9701,9049,10190,9706,9765,9893,9994,10433,10073,10112,9266,9820,10097,9115,10411,9678,10408,10153,10368,10581,10597,10680,9738,9556) > par7 = '1' > par6 = '1' > par5 = '1' > par4 = '12' > par3 = '1' > 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] 37 -46 49 -256 113 -104 -616 -715 -608 -91 -290 66 -132 -395 81 [16] 80 -153 -442 523 -160 449 223 -194 337 -176 99 338 120 472 487 [31] -264 -54 510 142 671 208 227 556 394 14 30 518 500 696 105 [46] -318 328 210 456 -29 -126 396 66 221 -28 643 260 374 148 524 [61] 568 472 -264 > y [1] 2.3 7.0 13.3 63.2 5.6 41.9 -25.9 -14.4 46.7 -50.4 -5.2 16.8 [13] -33.6 -38.7 -54.2 -64.1 -16.2 -65.7 -27.1 19.8 -58.8 51.9 -6.7 -71.8 [25] -25.4 26.3 26.3 23.4 7.4 17.5 43.7 20.3 30.3 -6.5 -24.7 22.2 [37] 19.3 -12.3 21.9 11.4 -11.2 11.3 9.9 -27.0 -11.6 -12.2 14.5 12.5 [49] -25.0 20.2 10.2 -17.4 -5.4 -7.5 -3.1 29.7 20.1 33.1 39.6 61.0 [61] 59.0 19.0 > postscript(file="/var/www/html/rcomp/tmp/183ax1293204304.ps",horizontal=F,onefile=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 0.048 0.095 0.242 0.110 0.238 0.231 0.176 0.396 0.261 0.099 0.304 -3 -2 -1 0 1 2 3 4 5 6 7 0.272 0.067 0.318 0.119 0.205 0.262 -0.120 0.030 -0.096 -0.044 0.164 8 9 10 11 12 13 14 -0.026 -0.177 0.070 -0.080 -0.081 0.064 -0.314 > 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/2e4q91293204304.tab") > > try(system("convert tmp/183ax1293204304.ps tmp/183ax1293204304.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.411 0.185 1.078