Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data X:
101.5 101.3 99.3 100.6 101.2 99.8 100.6 101.1 101.2 101.5 102.2 102.5 101.4 103.8 105.2 105.3 104.4 104.9 106.9 107.6 106.7 106.1 106.3 105.8 104.4 103.8 102.4 103.3 103.5 104.5 103.5 103.9 103.1 102.2 104.7 105.9 106.6 106.6 107.5 107.2 109 108.4 107 108 110.8 110.9 109.7 111 111.5 111 111.8 111.4 110.8 111.9 112.9 111.8 111 112.3 112.4 111.1
Data Y:
110.4 112.9 109.4 111.9 108.9 113.8 114.5 113.2 111 114.6 113.1 113.2 115.1 117.6 117.8 115.7 115.7 118.3 117.9 117.3 119.4 117.1 119 120 118.9 116 115.6 119.7 119.7 120.8 120 120.2 121.7 116.9 122.4 122.6 123.7 120.9 124.2 122.6 125.7 123.1 122.2 126.2 124.4 127.8 124.2 126.7 126.1 128.2 130.4 130.2 129.2 129.7 131 129.2 131.1 132.9 135.2 132.3
Data Z:
92.1 88.5 84.6 87 83.6 84.8 84.1 84.1 80.5 82.6 85.6 83.3 86.1 84.7 85.7 84.9 84.2 85.2 86.1 86 84.5 87.2 83.5 81.9 78.5 81.1 79.2 80.9 81.8 79.4 83.4 81.1 79.8 79.7 84 83.7 83.5 83.6 86 86.8 86.9 89 87.8 86.8 88.8 85.9 86.7 87.9 88.5 88.7 88.1 85.7 86.1 85.7 84.3 86.4 85.4 86.9 85.6 86.4
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