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Type 'q()' to quit R. > y <- c(1.439 + ,1.444 + ,1.435 + ,1.430 + ,1.427 + ,1.453 + ,1.448 + ,1.456 + ,1.449 + ,1.437 + ,1.437 + ,1.428 + ,1.413 + ,1.406 + ,1.414 + ,1.415 + ,1.409 + ,1.407 + ,1.400 + ,1.397 + ,1.391 + ,1.394 + ,1.398 + ,1.385 + ,1.369 + ,1.368 + ,1.376 + ,1.374 + ,1.372 + ,1.357 + ,1.361 + ,1.365 + ,1.373 + ,1.357 + ,1.352 + ,1.363 + ,1.358 + ,1.355 + ,1.349 + ,1.357 + ,1.353 + ,1.355 + ,1.364 + ,1.367 + ,1.358 + ,1.366 + ,1.356 + ,1.361 + ,1.366 + ,1.377 + ,1.371 + ,1.372 + ,1.376 + ,1.366 + ,1.355 + ,1.347 + ,1.352 + ,1.334 + ,1.336 + ,1.335 + ,1.347 + ,1.348 + ,1.348 + ,1.347 + ,1.340 + ,1.334 + ,1.330 + ,1.338 + ,1.359 + ,1.358 + ,1.362 + ,1.354 + ,1.354 + ,1.343 + ,1.349 + ,1.337 + ,1.334 + ,1.331 + ,1.332 + ,1.329 + ,1.325 + ,1.326 + ,1.332 + ,1.324 + ,1.309 + ,1.292 + ,1.273 + ,1.275 + ,1.297 + ,1.270 + ,1.267 + ,1.259 + ,1.249 + ,1.235 + ,1.243 + ,1.227 + ,1.233 + ,1.250 + ,1.236 + ,1.222 + ,1.231 + ,1.226 + ,1.238 + ,1.231 + ,1.216 + ,1.222 + ,1.227 + ,1.206 + ,1.196 + ,1.194 + ,1.201 + ,1.205 + ,1.213 + ,1.225 + ,1.226 + ,1.228 + ,1.236 + ,1.237 + ,1.239 + ,1.226 + ,1.227 + ,1.226 + ,1.229 + ,1.234 + ,1.220 + ,1.227 + ,1.233 + ,1.255 + ,1.253 + ,1.258 + ,1.257 + ,1.266 + ,1.264 + ,1.257 + ,1.257 + ,1.270 + ,1.283 + ,1.300 + ,1.296 + ,1.284 + ,1.282 + ,1.285 + ,1.290 + ,1.293 + ,1.303 + ,1.299 + ,1.307 + ,1.303 + ,1.307 + ,1.322 + ,1.321 + ,1.318 + ,1.318 + ,1.325 + ,1.313 + ,1.302 + ,1.279 + ,1.280 + ,1.282 + ,1.286 + ,1.288 + ,1.284 + ,1.271 + ,1.270 + ,1.261 + ,1.261 + ,1.269 + ,1.271 + ,1.270 + ,1.268 + ,1.280 + ,1.282 + ,1.283 + ,1.287 + ,1.274 + ,1.270 + ,1.272 + ,1.273 + ,1.280 + ,1.285 + ,1.299 + ,1.308 + ,1.306 + ,1.307 + ,1.312 + ,1.336 + ,1.332 + ,1.341 + ,1.348 + ,1.346 + ,1.361 + ,1.365 + ,1.373 + ,1.371 + ,1.378 + ,1.386 + ,1.397 + ,1.387 + ,1.394 + ,1.383 + ,1.396 + ,1.410 + ,1.409 + ,1.390 + ,1.386 + ,1.386 + ,1.402 + ,1.393 + ,1.403 + ,1.391 + ,1.380 + ,1.386 + ,1.386 + ,1.393 + ,1.402 + ,1.401 + ,1.424 + ,1.408 + ,1.392 + ,1.395 + ,1.377 + ,1.370 + ,1.371 + ,1.363 + ,1.361 + ,1.348 + ,1.365 + ,1.367 + ,1.365 + ,1.350 + ,1.334 + ,1.332 + ,1.323 + ,1.315 + ,1.300 + ,1.312 + ,1.316 + ,1.325 + ,1.328 + ,1.336 + ,1.320 + ,1.321 + ,1.324 + ,1.327 + ,1.344 + ,1.336 + ,1.324 + ,1.326 + ,1.315 + ,1.316 + ,1.311 + ,1.306 + ,1.310 + ,1.314 + ,1.320 + ,1.314 + ,1.328 + ,1.336) > x <- c(24.90 + ,25.06 + ,25.10 + ,24.92 + ,25.46 + ,25.89 + ,25.39 + ,25.38 + ,25.25 + ,24.88 + ,25.00 + ,25.00 + ,24.07 + ,23.60 + ,23.18 + ,23.25 + ,23.04 + ,22.77 + ,22.25 + ,22.41 + ,22.50 + ,22.91 + ,22.88 + ,21.69 + ,21.19 + ,21.56 + ,22.00 + ,22.13 + ,22.27 + ,22.30 + ,21.94 + ,22.40 + ,22.77 + ,22.90 + ,23.03 + ,23.05 + ,22.41 + ,22.26 + ,21.90 + ,22.01 + ,22.62 + ,22.76 + ,23.40 + ,23.63 + ,24.05 + ,23.82 + ,23.71 + ,23.95 + ,23.61 + ,23.98 + ,23.56 + ,23.99 + ,24.33 + ,24.48 + ,24.31 + ,24.38 + ,24.63 + ,25.54 + ,25.75 + ,25.73 + ,25.85 + ,25.78 + ,25.86 + ,26.86 + ,27.36 + ,27.38 + ,26.58 + ,27.65 + ,27.73 + ,27.18 + ,27.32 + ,27.30 + ,26.90 + ,26.70 + ,26.75 + ,26.41 + ,26.29 + ,27.51 + ,27.91 + ,27.70 + ,27.28 + ,28.25 + ,27.62 + ,27.30 + ,25.94 + ,24.99 + ,25.50 + ,24.42 + ,26.58 + ,25.84 + ,26.76 + ,26.74 + ,26.68 + ,25.55 + ,26.40 + ,25.19 + ,23.94 + ,24.20 + ,24.20 + ,23.07 + ,24.07 + ,25.02 + ,24.65 + ,24.68 + ,24.63 + ,24.49 + ,25.05 + ,24.31 + ,23.90 + ,23.68 + ,24.50 + ,25.22 + ,25.48 + ,26.00 + ,26.07 + ,26.06 + ,26.22 + ,26.70 + ,27.20 + ,26.77 + ,26.11 + ,25.43 + ,24.99 + ,25.51 + ,24.00 + ,23.86 + ,22.96 + ,23.41 + ,23.17 + ,24.12 + ,23.87 + ,24.27 + ,24.40 + ,24.16 + ,25.15 + ,25.09 + ,24.60 + ,24.33 + ,24.14 + ,24.36 + ,25.40 + ,26.15 + ,26.77 + ,26.94 + ,26.33 + ,26.24 + ,26.23 + ,25.88 + ,27.00 + ,26.91 + ,27.15 + ,27.78 + ,28.73 + ,28.83 + ,28.68 + ,27.56 + ,27.15 + ,27.41 + ,27.47 + ,28.76 + ,28.47 + ,27.94 + ,27.23 + ,27.01 + ,26.15 + ,26.11 + ,27.20 + ,27.36 + ,27.33 + ,27.43 + ,28.92 + ,29.45 + ,29.01 + ,29.25 + ,29.14 + ,29.64 + ,30.40 + ,30.62 + ,31.25 + ,31.75 + ,31.30 + ,30.70 + ,31.03 + ,31.46 + ,31.28 + ,31.03 + ,30.95 + ,31.17 + ,31.29 + ,31.91 + ,32.10 + ,31.71 + ,31.90 + ,32.02 + ,32.65 + ,33.77 + ,33.51 + ,34.26 + ,34.21 + ,34.13 + ,34.73 + ,34.73 + ,34.57 + ,34.80 + ,33.98 + ,34.40 + ,34.21 + ,34.61 + ,35.25 + ,35.23 + ,35.00 + ,34.52 + ,33.82 + ,34.35 + ,34.81 + ,34.96 + ,36.69 + ,36.42 + ,36.44 + ,37.41 + ,36.40 + ,36.15 + ,35.78 + ,36.95 + ,36.14 + ,36.36 + ,37.31 + ,37.58 + ,38.00 + ,37.23 + ,37.00 + ,37.87 + ,37.70 + ,36.17 + ,36.56 + ,37.70 + ,38.77 + ,39.02 + ,39.88 + ,39.56 + ,38.52 + ,37.20 + ,38.58 + ,39.41 + ,39.08 + ,38.81 + ,38.73 + ,38.70 + ,39.23 + ,39.82 + ,39.97 + ,40.37 + ,39.54 + ,39.21 + ,39.07 + ,39.78 + ,39.40 + ,38.92) > ylab = 'Valutakoersen Euro-Dollar ' > xlab = 'Aandeel Umicore' > postscript(file="/var/wessaorg/rcomp/tmp/19coh1324629508.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > histx <- hist(x, plot=FALSE) > histy <- hist(y, plot=FALSE) > maxcounts <- max(c(histx$counts, histx$counts)) > xrange <- c(min(x),max(x)) > yrange <- c(min(y),max(y)) > nf <- layout(matrix(c(2,0,1,3),2,2,byrow=TRUE), c(3,1), c(1,3), TRUE) > par(mar=c(4,4,1,1)) > plot(x, y, xlim=xrange, ylim=yrange, xlab=xlab, ylab=ylab) > par(mar=c(0,4,1,1)) > barplot(histx$counts, axes=FALSE, ylim=c(0, maxcounts), space=0) > par(mar=c(4,0,1,1)) > barplot(histy$counts, axes=FALSE, xlim=c(0, maxcounts), space=0, horiz=TRUE) > dev.off() null device 1 > lx = length(x) > makebiased = (lx-1)/lx > varx = var(x)*makebiased > vary = var(y)*makebiased > corxy <- cor.test(x,y,method='pearson') > cxy <- as.matrix(corxy$estimate)[1,1] > > #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/wessaorg/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Pearson Product Moment Correlation - Ungrouped Data',3,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Statistic',1,TRUE) > a<-table.element(a,'Variable X',1,TRUE) > a<-table.element(a,'Variable Y',1,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/arithmetic_mean.htm','Mean',''),header=TRUE) > a<-table.element(a,mean(x)) > a<-table.element(a,mean(y)) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/biased.htm','Biased Variance',''),header=TRUE) > a<-table.element(a,varx) > a<-table.element(a,vary) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/biased1.htm','Biased Standard Deviation',''),header=TRUE) > a<-table.element(a,sqrt(varx)) > a<-table.element(a,sqrt(vary)) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/covariance.htm','Covariance',''),header=TRUE) > a<-table.element(a,cov(x,y),2) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/pearson_correlation.htm','Correlation',''),header=TRUE) > a<-table.element(a,cxy,2) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/coeff_of_determination.htm','Determination',''),header=TRUE) > a<-table.element(a,cxy*cxy,2) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/ttest_statistic.htm','T-Test',''),header=TRUE) > a<-table.element(a,as.matrix(corxy$statistic)[1,1],2) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'p-value (2 sided)',header=TRUE) > a<-table.element(a,(p2 <- as.matrix(corxy$p.value)[1,1]),2) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'p-value (1 sided)',header=TRUE) > a<-table.element(a,p2/2,2) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Degrees of Freedom',header=TRUE) > a<-table.element(a,lx-2,2) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Number of Observations',header=TRUE) > a<-table.element(a,lx,2) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/2vfyo1324629508.tab") > > try(system("convert tmp/19coh1324629508.ps tmp/19coh1324629508.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.496 0.083 0.602