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Data X:
18.33 22.6 24.9 24.8 23.8 25.1 26 27.4 27.3 24.3 28.4 24.4 30.3 31.5 29.8 25.3 25.6 26.7 27.4 28.6 26.3 28.5 28.4 29.4 30.3 29.6 32.1 32.4 36.3 34.6 36.3 40.3 40.4 45.4 39 35.7 40.2 41.7 49.1 49.6 47 52 53.1 57.8 57.9 54.6 51.3 52.7 58.5 56.6 57.9 64.4 65.1 64.6 68.9 68.8 59.3 55 55.4 58 50.8 54.6 58.6 63.6 64.5 66.9 71.9 68.7 74.2 75.8
Data Y:
9041.46 9476.91 9420.10 9690.65 10084.25 10344.12 10086.71 9959.87 10256.23 10172.04 10258.34 10703.35 11484.51 11568.05 10991.80 10545.34 11462.71 11462.40 11285.57 11552.26 12171.38 12174.88 12531.67 13099.33 13331.94 13021.59 13040.64 13030.09 12362.41 12602.89 12794.66 12874.90 13015.84 13495.45 14123.82 14246.00 13652.94 13616.55 13934.98 13773.79 13585.12 13810.92 13657.18 14075.57 14663.08 15107.66 15358.34 16375.51 17602.60 17824.63 17892.97 19639.74 21790.73 19187.52 20357.82 20291.34 19264.86 18858.49 20156.19 20222.50 20251.14 21373.38 21091.86 21856.72 21532.48 21085.27 21388.73 21363.38 22842.24 24231.43
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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