Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data X:
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
Data Y:
16.8 18.7 18.7 18.7 16.8 16.8 16.8 16.0 16.0 16.0 18.0 18.0 18.0 18.0 18.0 18.0 21.6 21.6 21.6 20.1 20.1 20.1 22.9 22.9 22.9 24.0 24.0 24.0 20.3 20.3 20.3 15.8 15.8 15.8 23.2 23.2 23.2 20.9 20.9 20.9 19.8 19.8 19.8 20.6 20.6 20.6 21.1 21.1 21.1 22.4 22.4 22.4 20.5 20.5 20.5 18.4 18.4 18.4 17.6 17.6 17.6 18.5 18.5 18.5 17.3 17.3 17.3 16.2 16.2 16.2 18.0 18.0 18.0 19.1 20.8 20.8 20.8 19.0 19.0 19.0 15.2 15.2 15.2 19.9 19.9 19.9 19.0 19.0 19.0 19.9 19.9 19.9 17.5 17.5 17.5 26.6 26.6 26.6 20.8 20.8 20.8 18.9 18.9 18.9 19.5 19.5 19.5 27.1 27.1 27.1 24.1 24.1 24.1 21.3 21.3 21.3 19.1 19.1 19.1 26.2 26.2 26.2 21.7 21.7 21.7 19.4 19.4 19.4 19.5 19.5 19.5 28.7 28.7 28.7 21.8 21.8 21.8 20.0 20.0 20.0 22.6 22.6 22.6 24.6 24.6 24.6 4.5 5.6 5.4 5.4 5.2 5.3 5.3 5.3 5.2 5.2 5.0 5.0 5.0 6.5 6.5 6.6 6.2 6.2 6.2 6.1 6.1 6.1 5.9 5.9 5.9 6.2 6.1 6.2 6.6 6.6 6.7 5.8 5.7 5.7 6.1 6.2 6.2 6.2 6.1 6.2 6.5 6.5 6.5 6.0 6.3 6.0 6.1 6.1 6.1 6.2 6.1 6.2 6.8 6.8 6.8 6.7 6.7 6.7 5.7 5.6 5.6 5.8 5.7 5.7 6.1 6.1 5.9 5.9 5.8 5.6 5.5 5.5 5.4 5.8 7.3 7.0 7.0 7.8 7.8 7.8 7.0 7.0 7.0 8.0 7.9 7.9 7.3 7.3 7.4 7.7 7.7 7.7 7.0 7.0 7.1 7.3 7.3 7.4 7.9 7.7 7.8 8.6 8.6 8.6 7.0 7.0 7.1 8.7 8.9 8.9 7.9 7.8 7.9 8.2 8.2 8.2 7.9 7.9 7.9 8.5 8.5 8.5 8.0 7.8 7.9 8.3 8.2 8.1 7.9 8.0 8.0 7.7 7.7 7.6 7.8 7.6 7.6 8.1 8.0 7.8 7.4 7.3 7.2 7.4 7.5 7.2
Data Z:
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
Sample Range:
(leave blank to include all observations)
From:
To:
gridsize on x-axis
(?)
gridsize on y-axis
(?)
plot contours
Y
Y
N
plot points
Y
Y
N
Name of dataset X
Name of dataset Y
Name of dataset Z
Chart options
R Code
x <- array(x,dim=c(length(x),1)) colnames(x) <- par5 y <- array(y,dim=c(length(y),1)) colnames(y) <- par6 z <- array(z,dim=c(length(z),1)) colnames(z) <- par7 d <- data.frame(cbind(z,y,x)) colnames(d) <- list(par7,par6,par5) par1 <- as.numeric(par1) par2 <- as.numeric(par2) if (par1>500) par1 <- 500 if (par2>500) par2 <- 500 if (par1<10) par1 <- 10 if (par2<10) par2 <- 10 library(GenKern) library(lattice) panel.hist <- function(x, ...) { usr <- par('usr'); on.exit(par(usr)) par(usr = c(usr[1:2], 0, 1.5) ) h <- hist(x, plot = FALSE) breaks <- h$breaks; nB <- length(breaks) y <- h$counts; y <- y/max(y) rect(breaks[-nB], 0, breaks[-1], y, col='black', ...) } bitmap(file='cloud1.png') cloud(z~x*y, screen = list(x=-45, y=45, z=35),xlab=par5,ylab=par6,zlab=par7) dev.off() bitmap(file='cloud2.png') cloud(z~x*y, screen = list(x=35, y=45, z=25),xlab=par5,ylab=par6,zlab=par7) dev.off() bitmap(file='cloud3.png') cloud(z~x*y, screen = list(x=35, y=-25, z=90),xlab=par5,ylab=par6,zlab=par7) dev.off() bitmap(file='pairs.png') pairs(d,diag.panel=panel.hist) dev.off() x <- as.vector(x) y <- as.vector(y) z <- as.vector(z) bitmap(file='bidensity1.png') op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=cor(x,y), xbandwidth=dpik(x), ybandwidth=dpik(y)) image(op$xords, op$yords, op$zden, col=terrain.colors(100), axes=TRUE,main='Bivariate Kernel Density Plot (x,y)',xlab=par5,ylab=par6) if (par3=='Y') contour(op$xords, op$yords, op$zden, add=TRUE) if (par4=='Y') points(x,y) (r<-lm(y ~ x)) abline(r) box() dev.off() bitmap(file='bidensity2.png') op <- KernSur(y,z, xgridsize=par1, ygridsize=par2, correlation=cor(y,z), xbandwidth=dpik(y), ybandwidth=dpik(z)) op image(op$xords, op$yords, op$zden, col=terrain.colors(100), axes=TRUE,main='Bivariate Kernel Density Plot (y,z)',xlab=par6,ylab=par7) if (par3=='Y') contour(op$xords, op$yords, op$zden, add=TRUE) if (par4=='Y') points(y,z) (r<-lm(z ~ y)) abline(r) box() dev.off() bitmap(file='bidensity3.png') op <- KernSur(x,z, xgridsize=par1, ygridsize=par2, correlation=cor(x,z), xbandwidth=dpik(x), ybandwidth=dpik(z)) op image(op$xords, op$yords, op$zden, col=terrain.colors(100), axes=TRUE,main='Bivariate Kernel Density Plot (x,z)',xlab=par5,ylab=par7) if (par3=='Y') contour(op$xords, op$yords, op$zden, add=TRUE) if (par4=='Y') points(x,z) (r<-lm(z ~ x)) abline(r) box() dev.off()
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