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Type 'q()' to quit R. > y <- c(44028,45564,44277,44976,45406,47379,49200,50221,51573,53091,53337,54978,57885,67099,67169,69796,70600,71982,73957,75273,76322,77078,77954,79238,82179,83834,83744,84861,86478,88290,90287,91230,92380,92506,94172,94728,96581,97344,98346,98214,98366,98768,99832,99976,99961,100164,99964,99304,104008,104644,103950,104263,104241,105141,106018,105866,105944,106379,105082,104915,107026) > x <- c(569323,579714,577992,565464,547344,554788,562325,560854,555332,543599,536662,542722,593530,610763,612613,611324,594167,595454,590865,589379,584428,573100,567456,569028,620735,628884,628232,612117,595404,597141,593408,590072,579799,574205,572775,572942,619567,625809,619916,587625,565742,557274,560576,548854,531673,525919,511038,498662,555362,564591,541657,527070,509846,514258,516922,507561,492622,490243,469357,477580,528379) > par7 = '1' > 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] 6842 3572 11239 963 -6157 -12126 -15 571 405 1293 [11] -4488 899 -9084 -2502 -14826 444 450 856 -1850 -5322 [21] 5734 4214 -1405 -5082 -1907 -5241 -16176 -5170 -10205 7035 [31] -8386 -6908 -160 -13451 -12543 10075 2987 -17041 17704 4659 [41] 12880 -638 2361 2242 3375 -6005 20599 -5901 > y [1] 7678 1357 1928 374 -591 154 295 -303 -762 630 -357 34 [13] -7559 -160 -1510 813 430 22 -373 101 -630 790 -728 -1088 [25] -892 1092 -1249 -1465 -1410 -933 -799 -1165 77 -1866 -1216 2851 [37] -127 -1696 445 -174 498 -187 -296 93 232 -1097 493 -2593 > postscript(file="/var/www/html/rcomp/tmp/12udv1229025134.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 0.004 -0.158 -0.055 -0.102 -0.105 0.080 0.007 0.036 -0.032 0.012 0.049 -2 -1 0 1 2 3 4 5 6 7 8 0.039 -0.076 0.506 0.049 0.223 0.068 0.016 -0.134 0.069 0.016 -0.036 9 10 11 12 13 -0.151 -0.071 0.092 -0.273 -0.071 > 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/2yh2z1229025134.tab") > > system("convert tmp/12udv1229025134.ps tmp/12udv1229025134.png") > > > proc.time() user system elapsed 0.380 0.177 0.455