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Data X:
153.4 159.5 157.4 169.1 172.6 161.7 159.2 157.4 153.9 144.8 142.2 140.1 143.4 153.3 166.9 170.6 182.8 170.3 156.6 155.2 154.7 151.6 152.1 153.2 149.5 149.7 144.3 140 137.8 132.2 128.9 123.1 120.4 122.8 126 124.5 120.6 114.7 111.7 109.1 108 107.7 99.9 103.7 103.4 103.4 104.7 105.8 105.3 103 103.8 103.4 105.8 101.4 97 94.3 96.6 97.1 95.7 96.9 97.4 95.3 93.6 91.5 93.1 91.7 94.3 93.9 90.9 88.3 91.3 91.7 92.4 92 95.6 95.8 96.4 99 107 109.7 116.2 115.9 113.8 112.6 113.7 115.9 110.3 111.3 113.4 108.2 104.8 106 110.9 115 118.4 121.4 128.8 131.7 141.7 142.9 139.4 134.7 125 113.6 111.5 108.5 112.3 116.6 115.5 120.1 132.9 128.1 129.3 132.5 131 124.9 120.8 122 122.1 127.4 135.2 137.3 135 136 138.4 134.7 138.4 133.9 133.6 141.2 151.8 155.4 156.6 161.6 160.7 156 159.5 168.7 169.9 169.9 185.9
Data Y:
174.1 180.4 182.6 207.1 213.7 186.5 179.1 168.3 156.5 144.3 138.9 137.8 136.3 140.3 149.1 149.2 140.4 129 124.7 130.8 130.1 133.2 130.1 126.6 124.8 125.3 126.9 120.1 118.7 117.7 113.4 107.5 107.6 114.3 114.9 111.2 109.9 108.6 109.2 106.4 103.7 103 96.9 104.7 102.2 99 95.8 94.5 102.7 103.2 105.6 103.9 107.2 100.7 92.1 90.3 93.4 98.5 100.8 102.3 104.7 101.1 101.4 99.5 98.4 96.3 100.7 101.2 100.3 97.8 97.4 98.6 99.7 99 98.1 97 98.5 103.8 114.4 124.5 134.2 131.8 125.6 119.9 114.9 115.5 112.5 111.4 115.3 110.8 103.7 111.1 113 111.2 117.6 121.7 127.3 129.8 137.1 141.4 137.4 130.7 117.2 110.8 111.4 108.2 108.8 110.2 109.5 109.5 116 111.2 112.1 114 119.1 114.1 115.1 115.4 110.8 116 119.2 126.5 127.8 131.3 140.3 137.3 143 134.5 139.9 159.3 170.4 175 175.8 180.9 180.3 169.6 172.3 184.8 177.7 184.6 211.4
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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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