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Data X:
5877.641004 5264.324975 6142.177029 10268.13606 10473.95003 11975.11389 27071.77554 39415.43061 17684.58436 18056.32275 14220.73908 19910.88099 20825.80839 17078.14492 15893.85256 16587.08554 15452.75508 16634.15379 30075.88387 30024.98807 10837.18097 18212.88846 9612.37698 15383.76942 -10793.78215 -2665.770597 -2747.627613 5616.223003 3604.418271 -2472.739559 1060.469578 -8354.360115 -19737.63012 -29682.41175 -31450.81059 -26654.75529 -33207.92652 -38530.07447 -28833.33473 -39506.72592 -28597.11427 -2341.826355 343.2037971 -13047.16234 -26584.87934 -26927.22357 -18923.29632 -13025.37249 -24270.05651 -29451.89576 -10651.68425 -13617.95194 -4687.142289 1547.342007 -3588.856605 -9350.202187 -17243.26871 -6501.430206 -6826.935843 600.2497751 5685.935602 7979.577494 10909.68967 7336.861697 15319.24875 23453.89399 18322.6577 15060.75058 10453.76214
Data Y:
12759.67629 10622.97664 10308.72729 14324.40815 14766.20241 15482.80982 32045.46369 47967.4267 16954.41759 19078.51507 16119.42199 22381.18044 23681.8785 17447.24575 16518.34184 18164.67245 16311.81215 18389.41422 32616.54318 37136.81187 8887.473886 15353.85271 8311.578885 13271.94069 -12610.00173 -5753.20383 -6392.730644 4072.838634 97.67948377 -3302.437027 -349.966368 -9077.38537 -22399.95763 -30889.52098 -29794.84033 -25229.06177 -31107.64024 -36194.88959 -27783.31195 -36208.22571 -26169.46189 -2433.81936 -324.3648547 -13694.31753 -27975.766 -28540.55489 -20562.5741 -14825.48688 -24696.80327 -27729.30797 -9923.327593 -12574.73706 -3445.486919 2484.396362 -2379.636843 -8368.905883 -16495.70087 -8069.129444 -8234.645685 -1098.922628 3114.041771 4665.292196 6553.747945 1644.27573 11190.37869 17827.49059 13036.98367 8499.203837 2547.001736
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R Code
bitmap(file='test1.png') 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() 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$estimate)[1,1] load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Pearson Product Moment Correlation - Ungrouped Data',3,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Statistic',1,TRUE) a<-table.element(a,'Variable X',1,TRUE) a<-table.element(a,'Variable Y',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,hyperlink('http://www.xycoon.com/arithmetic_mean.htm','Mean',''),header=TRUE) a<-table.element(a,mean(x)) a<-table.element(a,mean(y)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,hyperlink('http://www.xycoon.com/biased.htm','Biased Variance',''),header=TRUE) a<-table.element(a,varx) a<-table.element(a,vary) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,hyperlink('http://www.xycoon.com/biased1.htm','Biased Standard Deviation',''),header=TRUE) a<-table.element(a,sqrt(varx)) a<-table.element(a,sqrt(vary)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,hyperlink('http://www.xycoon.com/covariance.htm','Covariance',''),header=TRUE) a<-table.element(a,cov(x,y),2) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,hyperlink('http://www.xycoon.com/pearson_correlation.htm','Correlation',''),header=TRUE) a<-table.element(a,cxy,2) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,hyperlink('http://www.xycoon.com/coeff_of_determination.htm','Determination',''),header=TRUE) a<-table.element(a,cxy*cxy,2) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,hyperlink('http://www.xycoon.com/ttest_statistic.htm','T-Test',''),header=TRUE) a<-table.element(a,as.matrix(corxy$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='mytable.tab')
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1 seconds
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Big Analytics Cloud Computing Center
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