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Data X:
8 9.300000191 7.5 8.899999619 10.19999981 8.300000191 8.800000191 8.800000191 10.69999981 11.69999981 8.5 8.300000191 8.199999809 7.900000095 10.30000019 7.400000095 9.600000381 9.300000191 10.60000038 9.699999809 11.60000038 8.100000381 9.800000191 7.400000095 9.399999619 11.19999981 9.100000381 10.5 11.89999962 8.399999619 5 9.800000191 9.800000191 10.80000019 10.10000038 10.89999962 9.199999809 8.300000191 7.300000191 9.399999619 9.399999619 9.800000191 3.599999905 8.399999619 10.80000019 10.10000038 9 10 11.30000019 11.30000019 12.80000019 10 6.699999809
Data Y:
78 68 70 96 74 111 77 168 82 89 149 60 96 83 130 145 112 131 80 130 140 154 118 94 119 153 116 97 176 75 134 161 111 114 142 238 78 196 125 82 125 129 84 183 119 180 82 71 118 121 68 112 109
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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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