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Data X:
1332.7 1343.8 1421.6 1329.8 1306.8 1412.8 1358.1 1163.9 1467.9 1433.7 1362.2 1299 1291.5 1452.7 1555.4 1402.5 1242.9 1514.6 1308.6 1239.3 1519.9 1659.4 1597.6 1340.6 1427.2 1438.1 1616.2 1392.8 1318.7 1420.9 1221 1310 1466.7 1299.3 1640 1506.3 1530.2 1661.9 1880.3 1230.8 1406.5 1523.5 1323.2 1319.2 1500.7 1483 1497 1219.8 1472.9 1423.9 1629.6 1353.4 1366.8 1527.1 1487.6 1478.6 1536.7 1682.1 1576.5 1280.5
Data Y:
64.5 57.9 72.5 82.9 62.7 66.6 70.9 56.3 81.2 67.8 57.2 62.8 51.2 66.5 71.5 67.8 56.9 90.6 64.1 65.7 77.9 84.2 81.7 65.9 76.1 80.1 74.3 86.5 70.9 91.5 93.7 77.5 100.3 85.7 95 73.7 87.6 87.6 92.9 80.7 74 87.7 68.2 117.4 100.1 97.7 101.1 87.6 83.2 85.9 118 87.3 79.5 93.2 99.2 66.6 83.9 100.4 73.5 60.8
Sample Range:
(leave blank to include all observations)
From:
To:
xgridsize
ygridsize
xbandwidth
(zero to use default)
ybandwidth
(zero to use default)
correlation
(zero to use actual correlation)
display contours
(Y/N)
Y
Y
N
display data points
(Y/N)
Y
Y
N
colors
terrain.colors
rainbow
heat.colors
topo.colors
cm.colors
Chart options
Title:
Label y-axis:
Label x-axis:
R Code
par1 <- as(par1,'numeric') par2 <- as(par2,'numeric') par3 <- as(par3,'numeric') par4 <- as(par4,'numeric') par5 <- as(par5,'numeric') library('GenKern') if (par3==0) par3 <- dpik(x) if (par4==0) par4 <- dpik(y) if (par5==0) par5 <- cor(x,y) if (par1 > 500) par1 <- 500 if (par2 > 500) par2 <- 500 bitmap(file='bidensity.png') op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=par5, xbandwidth=par3, ybandwidth=par4) image(op$xords, op$yords, op$zden, col=terrain.colors(100), axes=TRUE,main=main,xlab=xlab,ylab=ylab) if (par6=='Y') contour(op$xords, op$yords, op$zden, add=TRUE) if (par7=='Y') points(x,y) (r<-lm(y ~ x)) abline(r) box() dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Bandwidth',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'x axis',header=TRUE) a<-table.element(a,par3) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'y axis',header=TRUE) a<-table.element(a,par4) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Correlation',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'correlation used in KDE',header=TRUE) a<-table.element(a,par5) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'correlation(x,y)',header=TRUE) a<-table.element(a,cor(x,y)) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
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Raw Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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