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Data X:
26 51 57 37 67 43 52 52 43 84 67 49 70 52 58 68 62 43 56 56 74 65 63 58 57 63 53 57 51 64 53 29 54 51 58 43 51 53 54 56 61 47 39 48 50 35 30 68 49 61 67 47 56 50 43 67 62 57 41 54 45 48 61 56 41 43 53 44 66 58 46 37 51 51 56 66 45 37 59 42 38 66 34 53 49 55 49 59 40 58 60 63 56 54 52 34 69 32 48 67 58 57 42 64 58 66 26 61 52 51 55 50 60 56 63 61 52 16 46 56 52 55 50 59 60 52 44 67 52 55 37 54 72 51 48 60 50 63 33 67 46 54 59 61 33 47 69 52 55 55 41 73 51 52 50 51 60 56 56 29 66 66 73 55 64 40 46 58 43 61 51 50 52 54 66 61 80 51 56 56 56 53 47 25 47 46 50 39 51 58 35 58 60 62 63 53 46 67 59 64 38 50 48 48 47 66 47 63 58 44 51 43 55 38 56 45 50 54 57 60 55 56 49 37 43 59 46 51 58 64 53 48 51 47 59 62 62 51 64 52 67 50 54 58 56 63 31 65 71 50 57 47 54 47 57 43 41 63 63 56 51 50 22 41 59 56 66 53 42 52 54 44 62 53 50 36 76 66 62 59 47 55 58 60 44 57 45 58 51 57 30 46 51 56 58 44 14 53 42 49 44 62 30 46 56 50 54 48 55 35 55 41 59 54 66 55 45 51 47 42 53 53 41 55 55 46 63 43 65 59 39 44 60 57 67 52 52 69 46 46 53 40 70 54 77 45 60 47 50 66 60 41 53 34 51 69 60 45 58 39 51 52 49 63 44 51 52 60 53 53 52 31 51 65 51 49 61 58 62 54 52 72 50 65 53 56 63 62 66 50 45 58 52 53 68 59 58 52 45 58 70 69 71 46 58 39 46 64 67 44 54 41 68 63 57 61 39 69 64 38 59 51 59 51 65 47 50 57 21 47 51 37 67 43 58 51 40 41 58 64 64 58 50 59 55 59 58 41 56 63 77 60 58 64 47 46 62 60 50 46 44 58 56 43 54 54 56 65 66 62 58 67 25 56 53 56 59 46 49 56 76 33 49 53 58 72 51 42 69 51 54 52 59 51 67 64 58
Data Y:
50 68 62 54 71 54 65 73 52 84 42 66 65 78 73 75 72 66 70 61 81 71 69 71 72 68 70 68 61 67 76 70 60 77 72 69 71 62 70 64 58 76 52 59 68 76 65 67 59 69 76 63 75 63 60 73 63 70 75 66 63 63 64 70 75 61 60 62 73 61 66 64 59 64 60 56 66 78 53 67 59 66 68 71 66 73 72 71 59 64 66 78 68 73 62 65 68 65 60 71 65 68 64 74 69 76 68 72 67 63 59 73 66 62 69 66 51 56 67 69 57 56 55 63 67 65 47 76 64 68 64 65 71 63 60 68 72 70 61 61 62 71 71 51 56 70 73 76 59 68 48 52 59 60 59 57 79 60 60 59 62 59 61 71 57 66 63 69 58 59 48 66 73 67 61 68 75 62 69 58 60 74 55 62 63 69 58 58 68 72 62 62 65 69 66 72 62 75 58 66 55 47 72 62 64 64 19 50 68 70 79 69 71 48 66 73 74 66 71 74 78 75 53 60 50 70 69 65 78 78 59 72 70 63 63 71 74 67 66 62 80 73 67 61 73 74 32 69 69 84 64 58 60 59 78 57 60 68 68 73 69 67 60 65 66 74 81 72 55 49 74 53 64 65 57 51 80 67 70 74 75 70 69 65 55 71 65 69 48 69 68 74 67 65 63 74 39 68 69 68 63 67 70 68 66 70 78 59 62 75 74 73 62 69 65 67 73 52 61 53 63 78 65 77 69 68 76 63 41 76 67 69 59 73 72 52 65 63 78 56 68 56 64 68 75 67 55 73 66 75 77 65 75 57 61 71 72 62 66 66 63 60 64 74 59 71 69 63 73 55 77 70 64 78 60 66 77 68 78 68 60 65 64 69 72 50 72 71 80 74 64 69 76 75 79 73 60 76 55 53 62 69 78 68 67 75 59 73 70 59 64 63 67 58 71 79 53 76 66 64 57 67 72 58 74 57 62 74 54 62 66 64 74 71 66 66 63 65 70 66 66 78 77 72 65 67 72 58 84 67 84 58 63 75 55 72 58 69 54 58 67 77 80 67 75 71 72 75 79 76 72 81 52 76 60 72 77 64 67 72 79 40 71 73 75 70 66 66 73 74 58 51 75 70 50 64 77
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
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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