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Data X:
2333.3 2282.2 2458.2 2345.5 2065.2 2332.5 2077.5 1691.4 2381.9 2526 2212.1 2459.9 2178.8 2318.2 2661.8 2407.9 2040.6 2601.6 2106.3 1829.9 2546.1 2363 2435.8 2668 2316.9 2324.2 2610.8 2413.2 2345.2 2590.8 2132.1 1990.7 2641.7 2437.1 2649.2 2819.4 2405.6 2451.3 2878.5 2534.1 2670.6 2909.7 2261.8 2135.3 2870.4 2803.2 2775.1 2633.7 2930.6 2779.7 3039.2 2752.7 2743.1 2914 2711.9 2295.8 2840.6 3230.5 2761.1 2769.6
Data Y:
2894.3 2838.1 3137.7 2703.7 2623.6 2691.1 2577.9 2430.5 2871 2922.5 2810.8 3070.3 2790 2821 3383.6 3038.4 2877.3 3283.7 2927.3 2952.5 3328.9 3467.3 3355.6 3707 3275.6 3466.5 4054.3 3708.5 3339 3559.8 3189.2 3620.7 3915.4 3804.3 4391.6 4975.9 4478.7 4455.8 5661.8 4062.8 4257.7 4114.2 3793.8 4170 4004.9 4129.7 4116 4133.8 4081.2 3854.1 4239.8 3718.5 4183.1 4336.1 4299.2 4285.3 4676.7 4980.6 5207.4 5221.7
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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