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Data X:
-0.015358691 -0.185358691 -0.202353256 -0.144101897 -0.174101897 0.051908975 0.048411693 0.028411693 0.058411693 0.048411693 0.068411693 0.058411693 0.058411693 -0.031588307 -0.051588307 -0.151588307 -0.041588307 -0.021588307 0.008411693 0.008411693 0.008411693 0.008411693 0.048411693 0.068411693 0.058411693 0.028411693 0.018411693 0.028411693 0.018411693 0.008411693 -0.001588307 0.008411693 0.018411693 0.038411693 0.128411693 0.103755986 0.097154898 0.137154898 -0.005850538 0.095898103 0.125898103 0.082794298 0.084641309 -0.055063584 -0.006615486 -0.074670107 -0.017872281 -0.080976087 -0.149129076 -0.079129076 -0.173883153 -0.220385871 -0.130385871 -0.205139948 -0.261642666 -0.071642666 0.168357334 0.228357334 0.168357334 0.308357334 0.138357334 -0.101642666 -0.041642666 0.208357334 0.308357334 0.278357334 0.298652441 0.057100539 0.077100539 0.510401082 -0.888440492 -0.817872281
Data Y:
0.034947641 0.034947641 0.025154648 0.0227064 0.0227064 0.003120415 -0.001776081 -0.001776081 -0.001776081 -0.001776081 -0.001776081 -0.001776081 -0.001776081 -0.001776081 -0.001776081 -0.001776081 -0.001776081 -0.001776081 -0.001776081 -0.001776081 -0.001776081 -0.001776081 -0.001776081 -0.001776081 -0.001776081 -0.001776081 -0.001776081 -0.001776081 -0.001776081 -0.001776081 -0.001776081 -0.001776081 -0.001776081 -0.001776081 -0.001776081 0.008506561 0.01046516 0.01046516 0.020258152 0.0227064 0.0227064 0.029561495 0.034947641 0.043761334 0.047188881 0.055512925 0.059430122 0.066285216 0.071671362 0.071671362 0.079016106 0.083912603 0.083912603 0.091257347 0.096153843 0.096153843 0.096153843 0.096153843 0.096153843 0.096153843 0.096153843 0.096153843 0.096153843 0.096153843 0.096153843 0.096153843 0.104967536 0.108395084 0.108395084 -0.632584216 -0.907763354 -0.940569878
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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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Computing time
1 seconds
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Big Analytics Cloud Computing Center
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