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Data X:
2.066862759 2.208274414 2.240709689 2.240709689 2.208274414 2.197224577 2.2300144 2.292534757 2.282382386 2.2300144 2.116255515 2.079441542 2.140066163 2.341805806 2.406945108 2.388762789 2.302585093 2.219203484 2.219203484 2.251291799 2.261763098 2.251291799 2.208274414 2.186051277 2.197224577 2.312535424 2.332143895 2.32238772 2.261763098 2.219203484 2.2300144 2.240709689 2.240709689 2.219203484 2.197224577 2.197224577 2.197224577 2.282382386 2.302585093 2.282382386 2.2300144 2.197224577 2.197224577 2.208274414 2.208274414 2.208274414 2.219203484 2.174751721 2.116255515 2.128231706 2.091864062 2.041220329 2.066862759 2.066862759 2.079441542 2.066862759 2.028148247 1.960094784 1.916922612 1.871802177 1.931521412 2.104134154 2.163323026 2.116255515 2.066862759 2.014903021 2.054123734 2.116255515 2.128231706 2.104134154 2.041220329 1.974081026 1.987874348
Data Y:
1.987874348 2.028148247 2.014903021 2.028148247 2.066862759 2.066862759 2.091864062 2.104134154 2.079441542 2.014903021 1.916922612 1.871802177 1.887069649 2.028148247 2.079441542 2.091864062 2.041220329 2.014903021 2.028148247 2.054123734 2.054123734 2.054123734 2.014903021 2.014903021 1.960094784 2.014903021 2.014903021 2.028148247 2.041220329 2.041220329 2.066862759 2.091864062 2.104134154 2.104134154 2.104134154 2.066862759 1.987874348 1.931521412 1.887069649 1.902107526 1.931521412 1.945910149 1.960094784 1.974081026 1.960094784 1.931521412 1.945910149 1.916922612 1.85629799 1.902107526 1.887069649 1.85629799 1.840549633 1.824549292 1.871802177 1.916922612 1.916922612 1.85629799 1.808288771 1.757857918 1.808288771 1.974081026 1.987874348 1.931521412 1.808288771 1.757857918 1.824549292 1.960094784 2.041220329 2.066862759 2.041220329 2.00148 2.014903021
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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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