Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data X:
3.40 4.8 6.5 8.5 13.6 15.7 18.8 19.2 12.9 14.4 6.2 2.4 4.6 7.1 7.8 9.9 13.9 17.1 17.8 18.3 14.7 10.5 8.6 4.4 2.3 2.8 8.8 10.7 12.8 19.3 19.5 20.3 15.3 7.9 8.3 4.5 3.2 5 6.6 11.1 13.4 16.3 17.4 18.9 15.8 11.7 6.4 2.9 4.7 2.4 7 10.6 12.8 17.7 18.2 16.5 16.2 13.9 6.6 3.6 1.4 2.6 4.3 8.8 14.5 16.8 22.7 15.7 18.2 14.2 9.1 5.9 7 6.2 7.8 14.3 14.6 17.3 17.1 17 13.9 10.3 6.7 3.9
Data Y:
325.87 302.25 294 285.43 286.19 276.7 267.77 267.03 257.87 257.19 275.6 305.68 358.06 320.07 295.9 291.27 272.87 269.27 271.32 267.45 260.33 277.94 277.07 312.65 319.71 318.39 304.9 303.73 273.29 274.33 270.45 278.23 274.03 279 287.5 336.87 334.1 296.07 286.84 277.63 261.32 264.07 261.94 252.84 257.83 271.16 273.63 304.87 323.9 336.11 335.65 282.23 273.03 270.07 246.03 242.35 250.33 267.45 268.8 302.68 313.1 306.39 305.61 277.27 264.94 268.63 293.9 248.65 256 258.52 266.9 281.23 306 325.46 291.13 282.53 256.52 258.63 252.74 245.16 255.03 268.35 293.73 278.39
Sample Range:
(leave blank to include all observations)
From:
To:
Chart options
Label y-axis:
Label x-axis:
R Code
k <- cor.test(x,y,method='spearman') bitmap(file='test1.png') plot(x,y,main='Scatterplot',xlab=xlab,ylab=ylab) grid() dev.off() bitmap(file='test2.png') 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,'Spearman Rank Correlation',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'rho',header=TRUE) a<-table.element(a,k$estimate) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'2-sided p-value',header=TRUE) a<-table.element(a,k$p.value) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'S',header=TRUE) a<-table.element(a,k$statistic) 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
2 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation