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Data X:
-.05 .00 -.50 -.15 -.25 .17 1.00 . .05 . -.20 .75 .75 -.15 .75 .25 .25 -.20 -.15 -.15 . 2.00 -.75 -.15 .25 .20 -.50 -.50 . . -.20 . .00 -.10 .50 .00 .00 -.25 . -.50 .25 .25 .00 -.50 -.18 .10 . .00 .65 .00 .04 .00 . .00 .25 .20 1.00 -.10 . -1.50 -.50 .25 .00 -.50 .40 -.50 -.50 1.00 .75 . . . -.50 . . .00 . . -.50 . 1.50 . .50 1.00 . .50 . . . . . . . 1.00 .00 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Data Y:
. . 26 23 28 . . . 21 . . 25 31 27 . . . 21 . 31 . . 29 32 26 21 9 29 26 27 26 22 . 9 25 25 29 26 29 . 21 . . 32 27 . 26 24 . . . . 25 . . 26 26 34 28 . . 27 27 28 30 21 27 26 . 24 . . . . . . . 26 30 . . 21 28 . 23 . . 25 24 . 28 . . .
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R Code
library('Kendall') k <- Kendall(x,y) bitmap(file='test1.png') par(bg=rgb(0.2,0.4,0.6)) plot(x,y,main='Scatterplot',xlab=xlab,ylab=ylab) grid() dev.off() bitmap(file='test2.png') par(bg=rgb(0.2,0.4,0.6)) plot(rank(x),rank(y),main='Scatterplot of Ranks',xlab=xlab,ylab=ylab) grid() dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Kendall tau Rank Correlation',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Kendall tau',header=TRUE) a<-table.element(a,k$tau) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'2-sided p-value',header=TRUE) a<-table.element(a,k$sl) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Score',header=TRUE) a<-table.element(a,k$S) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Var(Score)',header=TRUE) a<-table.element(a,k$varS) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Denominator',header=TRUE) a<-table.element(a,k$D) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
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Big Analytics Cloud Computing Center
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