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Data X:
0.818465 0.800641 0.769764 0.745823 0.762253 0.768403 0.757518 0.772917 0.787774 0.82203 0.830772 0.813537 0.815927 0.832293 0.848464 0.843455 0.826241 0.837661 0.831947 0.81493 0.783085 0.790514 0.788395 0.780579 0.785731 0.792959 0.776337 0.75683 0.76929 0.764877 0.755173 0.739864 0.740138 0.745212 0.729076 0.734107 0.719632 0.702889 0.681013 0.686342 0.67944 0.678058 0.644039 0.63488 0.642797 0.642963 0.634115 0.66778 0.695894 0.750638 0.785423 0.74355 0.755344 0.782167 0.766284 0.75815 0.732601 0.71347 0.709824 0.700869
Data Y:
1076.7 1035.9 1037 1154 1237.2 996.6 1238.2 1153.4 1268.1 1156 1144.5 1232.9 1055.2 1109.7 1079.8 1126.3 1196.8 1130.4 1183.6 1200.9 1426.6 1080.4 1325.4 1230 1125.9 1174.5 1151.9 1439.3 1344.3 1319.1 1257.6 1249.1 1397.1 1348 1548.2 1377.6 1402.9 1167.6 1392.9 1547 1420 1266.4 1280.8 1128.6 1449.5 1511.7 1548.3 1652 1650.5 1370.8 1653.3 1474.3 1418.8 1554.1 1156.6 1223.4 1337.5 1098.9 1037.6 1202.5
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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