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Data X:
2.740840024 2.714694744 2.459588842 2.791165108 2.815408719 2.708050201 2.701361213 2.681021529 2.727852828 2.884800713 2.797281335 2.734367509 2.884800713 2.766319109 2.63188884 2.879198457 2.884800713 2.856470206 2.815408719 2.772588722 2.809402695 2.949688335 2.879198457 2.844909384 2.923161581 2.791165108 2.714694744 2.954910279 2.87356464 2.949688335 2.890371758 2.862200881 2.879198457 3.04927304 2.844909384 2.965273066 2.985681938 2.867898902 2.785011242 2.970414466 2.990719732 2.995732274 2.850706502 2.939161922 2.923161581 3.063390922 2.923161581 2.985681938 3.034952987 2.975529566 2.87356464 2.985681938 3.100092289 3.0301337 2.884800713 3.039749159 3.054001182 3.063390922 3.135494216 3.058707073 3.173878459 3.109060959 2.90690106 3.126760536 3.104586678 2.879198457 2.797281335 2.772588722 2.797281335 2.87356464 2.809402695 2.785011242 2.90690106
Data Y:
2.653241965 2.602689685 2.4765384 2.681021529 2.747270914 2.646174797 2.701361213 2.653241965 2.681021529 2.844909384 2.734367509 2.660259537 2.862200881 2.674148649 2.667228207 2.809402695 2.815408719 2.809402695 2.827313622 2.753660712 2.797281335 2.912350665 2.827313622 2.803360381 2.90690106 2.714694744 2.753660712 2.895911938 2.821378886 2.939161922 2.944438979 2.895911938 2.879198457 3.068052935 2.839078464 2.928523524 2.944438979 2.797281335 2.827313622 2.923161581 2.960105096 2.965273066 2.867898902 2.923161581 2.895911938 3.015534901 2.895911938 2.975529566 2.990719732 2.954910279 2.879198457 2.954910279 3.091042453 3.04927304 2.970414466 3.100092289 3.039749159 3.100092289 3.157000421 3.068052935 3.19047635 3.126760536 3.010620886 3.165475048 3.148453361 2.975529566 2.890371758 2.850706502 2.821378886 2.901421594 2.803360381 2.772588722 2.912350665
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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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