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Data X:
614.66 4534.37 5430.57 4665.91 13205.1 13540 3426.39 NA 66604.2 51274.1 7106.04 22647.3 24299 857.5 15722.8 6300.45 48053.3 746.83 70626.3 2395 2253.09 4708.85 7743.5 13237.6 NA 47097.4 7615.28 671.07 276.69 3801.45 877.64 1271.21 52145.4 NA 495.04 1161.22 14525.8 5560.94 7305.22 860.24 1943.69 338.63 8979.96 1016.83 14522.8 5175.94 31454.7 21676.3 61413.6 1433.17 7088.01 6085.89 5192.88 2930.33 3696.33 24064 439.73 17304.4 379.38 4201.37 50960.2 45430.3 NA NA 11989 505.76 3710.7 46822.4 1627.9 25987.4 7410.48 NA 3233.8 459.09 681.25 3269.46 749.13 2269.51 13964.2 1513.85 3688.53 7511.1 5848.54 52853.6 33718.9 38412 5226.3 46201.6 4615.17 11278 1062.11 NA 24155.8 41830.5 1116.37 1236.24 13732 9143.86 1338.42 397.38 5859.43 14373.7 114665 5174.89 456.33 493.84 10252.6 741.22 NA 1524.39 8811.15 10123.9 1971.03 3736.07 7251.6 NA 3149.43 538.82 1117.58 5880.8 NA 700.07 53589.9 NA 37488.3 1626.85 410.91 2612.12 100172 22622.8 1218.6 8410.77 1871.21 3557.31 5684.73 2379.44 13769.5 23217.3 99431.5 NA 9213.94 13320.2 628.08 12952.5 7737.2 6171.48 4067.15 1384.53 23593.8 1079.27 6426.18 499.89 53122.4 18103.1 25040.5 1647.86 NA 8089.87 32008.7 2880.03 8190.7 4657.48 59381.9 88506.2 NA 836.17 765.33 5479.29 5167.86 580.86 4330.9 18310.8 4305.07 10437.7 5290.14 601.35 3589.63 40980.5 40817.4 49725 14238.1 1560.85 10237.8 1532.31 NA 1302.3 1740.64 865.91
Data Y:
0.18 0.87 1.14 0.2 NA 1.08 0.89 NA 4.85 4.14 1.25 4.46 6.19 0.26 3.28 2.57 4.43 0.51 NA 0.63 0.67 1.74 2.36 0.91 NA 3.24 2.08 0.12 0.04 NA NA 0.19 5 3.56 0.08 0.01 2.04 2.32 0.67 0.25 0.47 0.07 1.37 0.26 2.21 1.23 2.94 3.42 2.6 NA 1.47 0.86 1.08 1.02 0.84 3.17 0.03 NA 0.07 1.06 NA 2.71 1.58 2.39 0.43 0.21 0.83 3.28 0.43 2.58 NA 2.61 0.7 0.16 0.09 1.25 0.15 0.6 1.9 0.61 0.64 1.72 1.36 3.22 4.59 2.77 1.09 3.69 1.09 4.59 0.2 0.68 4.17 6.89 0.95 0.09 1.66 2.52 0.51 0.14 2.33 2.15 12.65 2.06 0.07 0.07 2.1 0.1 1.73 0.55 1.99 1.74 1.03 2.09 2.13 NA 0.67 0.17 0.09 1.02 NA 0.16 3.23 1.78 2.84 0.45 0.1 0.21 NA 5.8 0.38 1.44 0.35 0.97 0.67 0.34 2.64 2.15 9.57 3.27 1.46 3.87 0.07 3.34 1.56 NA 0.96 0.37 4.21 0.3 1.66 0.07 5.91 2.82 4.27 0 0.07 2.34 2.22 0.52 3.01 0.67 3.88 4.26 0.81 0.13 0.17 1.54 0.06 0.31 0.88 6.89 1.11 1.92 4.13 0.08 1.92 3.14 6.37 5.9 0.98 1.41 2.13 0.79 NA 0.42 0.24 0.53
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
N
display data points
(Y/N)
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') x <- x[!is.na(y)] y <- y[!is.na(y)] y <- y[!is.na(x)] x <- x[!is.na(x)] 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 if (par8 == 'terrain.colors') mycol <- terrain.colors(100) if (par8 == 'rainbow') mycol <- rainbow(100) if (par8 == 'heat.colors') mycol <- heat.colors(100) if (par8 == 'topo.colors') mycol <- topo.colors(100) if (par8 == 'cm.colors') mycol <- cm.colors(100) bitmap(file='bidensity.png') op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=par5, xbandwidth=par3, ybandwidth=par4) image(op$xords, op$yords, op$zden, col=mycol, axes=TRUE,main=main,xlab=xlab,ylab=ylab) if (par6=='Y') contour(op$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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R Server
Big Analytics Cloud Computing Center
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