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Data X:
58 51 57 30 46 51 56 58 44 14 53 42 49 44 62 30 46 50 54 48 55 35 55 41 59 54 55 45 51 47 42 53 53 41 55 55 46 63 43 65 59 39 44 60 57 67 52 52 69 46 46 53 40 70 54 77 45 60 47 50 66 60 41 53 34 51 69 60 45 58 39 51 52 49 63 44 51 52 60 53 53 52 31 51 65 51 49 61 58 62 54 52 72 50 65 53 56 63 62 66 50 45 58 52 53 68 59 58 52 45 58 70 69 71 46 58 39 46 64 67 44 54 41 68 63 57 61 39 69 64 38 59 51 59 51 65 47 50 57 21 47 51 37 67 43 58 51 40 41 58 64 64 58 50 59 55 59 58 41 56 63 77 60 58 64 46 62 60 50 46 44 58 56 43 54 54 56 65 66 62 58 67 25 56 53 56 59 46 49 56 76 33 49 53 58 72 51 42 69 51 54 52 59 51 67 64 58 53
Data Y:
22 17 23 23 28 29 21 24 20 7 19 28 18 26 21 19 20 23 24 16 19 24 21 16 16 21 28 16 23 26 29 18 19 19 16 16 16 18 22 14 20 15 22 24 16 19 24 19 15 11 15 17 20 21 16 17 20 15 21 16 18 25 21 21 16 20 24 28 27 22 20 27 17 22 23 15 22 13 21 18 22 19 15 20 17 21 23 20 18 22 24 24 18 27 19 20 15 20 27 20 20 13 21 23 26 24 25 18 21 23 16 19 20 25 22 20 25 27 20 18 26 26 24 27 16 15 25 27 18 16 18 23 21 21 14 24 18 16 25 22 13 20 17 23 22 23 22 23 10 18 25 26 14 23 22 23 19 14 26 24 21 17 16 15 11 19 21 20 16 19 16 11 22 20 26 26 20 24 20 15 23 25 27 23 20 25 24 22 27 20 17 22 26 19 19 24 22 16 22 23 19 20 16 19 20 15 22 26
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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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