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Data X:
12300.00 12092.80 12380.80 12196.90 9455.00 13168.00 13427.90 11980.50 11884.80 11691.70 12233.80 14341.40 13130.70 12421.10 14285.80 12864.60 11160.20 14316.20 14388.70 14013.90 13419.00 12769.60 13315.50 15332.90 14243.00 13824.40 14962.90 13202.90 12199.00 15508.90 14199.80 15169.60 14058.00 13786.20 14147.90 16541.70 13587.50 15582.40 15802.80 14130.50 12923.20 15612.20 16033.70 16036.60 14037.80 15330.60 15038.30 17401.80 14992.50 16043.70 16929.60 15921.30 14417.20 15961.00 17851.90 16483.90 14215.50 17429.70 17839.50 17629.20
Data Y:
3423.40 3242.80 3277.20 3833.00 2606.30 3643.80 3686.40 3281.60 3669.30 3191.50 3512.70 3970.70 3601.20 3610.00 4172.10 3956.20 3142.70 3884.30 3892.20 3613.00 3730.50 3481.30 3649.50 4215.20 4066.60 4196.80 4536.60 4441.60 3548.30 4735.90 4130.60 4356.20 4159.60 3988.00 4167.80 4902.20 3909.40 4697.60 4308.90 4420.40 3544.20 4433.00 4479.70 4533.20 4237.50 4207.40 4394.00 5148.40 4202.20 4682.50 4884.30 5288.90 4505.20 4611.50 5081.10 4523.10 4412.80 4647.40 4778.60 4495.30
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 Input
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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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