Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data X:
8.5 8.6 8.5 8.5 9 9 8.8 8 7.9 8.1 9.3 9.4 9.4 9.3 9 9.1 9.7 9.7 9.6 8.3 8.2 8.4 10.6 10.9 10.9 9.6 9.3 9.3 9.6 9.5 9.5 9 8.9 9 10.1 10.2 10.2 9.5 9.3 9.3 9.4 9.3 9.1 9 8.9 9 9.8 10 9.8 9.4 9 8.9 9.3 9.1 8.8 8.9 8.7 8.6 9.1 9.3 8.9
Data Y:
18.9 19.1 18.2 17.9 21.4 20.9 20.2 19.4 18.6 19 23.9 24.9 24.8 23.5 22.2 22.1 20.2 19.8 18.9 17.9 17.2 17.5 24.3 25.3 25.2 23.3 22.1 21.5 21 20.5 19.9 20.3 19.6 19.7 22.7 23.7 23.7 23.1 21.9 21.3 20.5 20.2 19.4 19.1 18.7 18.9 22.5 23.3 23.1 21.3 19.8 18.9 19.3 18.6 17.7 20 18.9 18.7 20.8 21.7 20.8
Sample Range:
(leave blank to include all observations)
From:
To:
Chart options
Label y-axis:
Label x-axis:
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')
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation