Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data X:
100.00 108.16 114.02 102.19 110.37 96.86 94.19 99.52 94.06 97.55 78.15 81.24 92.36 96.06 114.05 110.66 104.92 90.00 95.70 86.03 84.85 100.04 80.92 74.07 77.30 97.23 90.76 100.56 92.01 99.24 105.87 90.99 93.31 91.17 77.33 91.13 85.01 83.90 104.86 110.90 95.44 111.62 108.89 96.18 101.97 99.12 86.78 118.42 118.74 106.53 134.78 104.68 105.30 139.41 103.61 99.78 103.46 120.06 96.71 107.13 105.36 111.69 132.05 126.80 154.48 141.56 109.95 127.90 133.09 120.08 117.56 143.04
Data Y:
100.00 99.97 101.03 101.00 101.30 101.43 101.49 102.14 102.58 102.34 102.07 101.83 102.14 102.58 102.63 102.74 103.32 103.27 102.48 102.14 102.07 101.69 101.15 100.90 101.77 101.93 102.27 102.49 102.80 102.82 102.83 102.89 102.87 102.67 102.96 103.22 103.53 104.63 104.63 104.17 103.93 104.01 104.16 105.22 105.85 106.21 105.77 105.63 106.49 107.51 110.43 111.42 111.58 111.34 111.08 111.66 112.36 112.31 111.52 110.87 111.13 112.71 113.25 113.09 112.55 112.87 113.59 115.14 116.38 116.50 116.25 116.73
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') 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
0 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation