Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data X:
1213.8 1245.6 1306.3 1255.8 1257.6 1287.8 1300.4 1320.9 1370.8 1327.3 1320 1345.3 1346.7 1395.4 1462 1491.6 1461.8 1477.9 1490.3 1521.1 1561.9 1552.6 1523.6 1548.3 1552.4 1587 1621.3 1648.7 1641.8 1650.6 1688.6 1670.7 1682.2 1678.9 1650.6 1662.4 1664.5 1683.2 1736.2 1747.6 1749 1759.7 1793.6 1817.4 1858.4 1839.9 1809.1 1877.7 1880.3 1930.9 2039.3 1992.7 1987.8 1984.4 2016.5 2016.7 2064.1 2031.5 2000.3 2057.8 2041.2 2093.2 2158.3 2128.8 2131.9 2170.3 2190.8 2217.7 2254.4 2223.3 2210.5 2250.8 2249.1 2288.6 2329.2 2313.8 2309.8 2345.9 2361.3 2372 2410.4 2398.5 2362.3 2419.1 2421.6 2465 2480.5 2506.1 2506.6 2525.8 2550 2578.3 2807.8 2815.3 2767.7 2815.4 2838.8 2864 2948.6 2922.8 2917.2 2936.8 2993.4 3007.8 3046.3 3011.5 2958.6 3019.8 2998.5 3040.4 3166 3110 3099.2 3150.3 3163.6 3182.6 3244.4 3223.2 3143.6 3217 3182.3 3217.2 3262.5 3227.9 3171.6 3219 3195.4 3221.6 3262.1 3179.5 3133.6 3219.2 3245 3265.3 3312.5 3383.6 3386.3 3411.1 3467.2 3487.7 3575.5 3571.5 3582.3 3637.1 3685
Data Y:
2430.47 2516.3 2633.63 2799.84 3001.93 3229.29 3173.02 3322.08 3417.88 3486.95 3016.22 2709.61 2914.87 3203.08 3320.25 3446.25 3456.85 3566.53 3763.67 3607.75 3747.38 3623.91 3699.76 3629.61 3911.52 4281.47 4742.42 4522.42 4879.79 5059.11 5093.19 4941.81 4832.67 4876.18 5018.07 4780.34 4953.59 4622.32 4557.13 4560.03 4105.66 4004.89 4277.26 4245.98 4057.64 3931.42 3637.15 3339.91 3465.74 3571.25 3706.93 3584.17 3552.11 3695.24 3510 3357.7 3060.91 2736.98 2709.45 2314.96 2561.29 2663.49 2407.87 2237.74 2165.44 2098.89 2318.54 2315.49 2395.47 2474.07 2479.57 2386.92 2537.84 2567.13 2660.37 2696.28 2748.5 2663.32 2707.69 2669.36 2687.68 2650.24 2620.03 2668.47 2692.06 2737.67 2774.77 2819.19 2892.56 2866.08 2817.41 2934.75 3036.54 3139.5 3114.31 3261.3 3201.79 3264.53 3349.1 3446.17 3469.48 3507.13 3536.2 3359.05 3378.85 3449.15 3522.89 3551.04 3669.15 3602 3697.22 3760.9 3665.08 3708.8 3858.21 3933.16 3946.98 3794.29 3765.56 3820.33 3885.12 3752.67 3683.79 3240.75 3188.82 3017.98 3237.2 3182.53 2906.42 2881.35 2915.64 2635.13 2331.43 2159.04 2065.46 1983.48 1770.41 1815.99 2026.97 2124.81 2098.28 2291.39 2401.57 2453.89 2409.53
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')
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation