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Data X:
7 7 7 7 6 1 7 1 5 7 4 4 1 4 4 7 5 5 5 1 5 5 5 5 5 6 4 1 4 3 5 5 6 3 1 4 5 5 5 6 4 1 4 4 5 6 5 6 2 1 4 4 5 4 5 5 1 5 4 5 4 5 5 2 5 5 5 6 5 6 2 2 4 5 6 5 6 2 2 4 5 6 5 6 2 2 4 5 7 5 6 7 5 1 6 7 5 6 6 5 1 6 7 7 7 7 4 1 5 7 5 6 5 7 4 1 2 5 6 5 6 5 4 2 6 7 6 7 5 2 5 6 3 7 7 6 5 2 6 2 7 7 5 4 1 5 4 7 6 6 4 1 4 7 6 6 5 6 4 1 3 3 6 5 5 3 1 5 3 6 6 6 3 1 4 6 5 6 5 7 4 1 4 3 6 4 7 3 1 3 3 5 6 7 3 1 3 3 3 6 6 7 2 1 5 3 6 6 7 2 1 5 3 6 6 7 1 1 5 2 7 7 6 7 6 1 7 6 6 7 7 6 1 7 7 7 7 7 6 1 7 7 7 7 3 7 2 1 1 5 7 4 6 2 1 2 5 7 3 7 2 1 2 5 6 7 5 7 6 2 4 5 6 6 6 4 2 3 6 6 6 6 4 2 4 6 7 7 5 4 4 4 4 4 7 5 7 5 1 1 6 7 6 6 5 1 6 7 4 5 1 6 1 1 1 2 5 2 5 1 1 2 3 6 2 4 2 1 1 5 7 7 4 7 2 2 2 5 6 5 6 2 1 5 5 7 5 7 4 1 4 6 7 6 6 7 5 1 6 5 2 6 6 6 1 7 5 5 7 5 1 1 5 7 7 6 6 7 5 1 6 5 2 6 6 6 1 7 5 5 7 5 1 1 5 7 3 6 4 6 1 1 3 2 7 5 2 1 1 2 1 7 5 6 2 1 1 2 5 6 5 6 4 1 5 6 4 5 5 4 1 5 6 6 6 7 4 1 5 6 5 5 5 6 5 1 5 4 5 6 6 4 1 5 6 6 6 6 5 1 5 6 5 3 6 4 5 6 4 6 4 5 4 4 3 5 7 1 5 6 6 2 5 6
Data Y:
5 6 5 6 2 2 4 5 6 5 4 2 2 5 5 6 5 5 3 2 5 6 7 7 4 7 1 1 4 1 5 7 7 1 1 4 4 6 7 7 1 1 4 7 7 7 2 7 1 1 6 6 7 4 7 1 1 5 5 7 6 6 5 1 6 7 6 7 5 7 2 1 5 4 6 6 7 5 1 6 2 7 6 7 4 1 4 5 5 6 5 6 3 3 4 5 6 6 6 3 2 5 5 6 5 5 2 1 4 5 7 7 6 7 6 1 6 5 7 6 7 6 1 7 4 7 7 7 6 1 6 6 7 7 5 7 2 1 7 1 7 6 7 1 1 5 6 7 6 6 1 1 7 7 5 5 3 5 1 1 5 3 5 4 5 1 1 3 4 4 4 6 2 1 5 5 7 6 5 7 4 1 4 3 7 6 7 3 1 5 2 7 6 7 3 1 3 5 7 6 4 2 1 1 5 4 4 5 2 2 1 4 5 6 6 2 4 1 4 6 7 6 4 7 4 1 6 6 5 6 6 4 1 6 5 6 6 6 4 1 6 7
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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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