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 | :: Trivariate Scatterplots - Free Statistics Software (Calculator) :: | |
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All rights reserved. The non-commercial (academic) use of this software is free of charge. The only thing that is asked in return is to cite this software when results are used in publications.
This free online software (calculator) computes the following charts for a trivariate dataset: 3-dimensional scatterplots, all combinations of 2-by-2 scatterplots, histograms, bivariate density plots with the corresponding contour plots and regression line.
This software enables the user to visually explore the relationship between 3 variables. In addition it illustrates how 3-dimensional scatterplots are related to 2-dimensional scatterplot matrices and density plots.
Click here to edit the underlying code of this R Module.Enter (or paste) your data delimited by hard returns. Click here to edit the underlying code of this R Module.
| Cite this software as: | | Wessa P., (2008), 3-Dimensional Scatterplots (v1.0.4) in Free Statistics Software (v1.1.22-r6), Office for Research Development and Education, URL http://www.wessa.net/rwasp_cloud.wasp/ | | | The R code is based on : | | | Deepayan Sarkar (2006)., lattice: Lattice Graphics. R package, version 0.13-8.
| | | David Lucy and Robert Aykroyd (2004)., GenKern: Functions for generating and manipulating kernel density estimates., R package version 1.1-0.
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| Source code of R module | | 1 | x <- array(x,dim=c(length(x),1)) | | 2 | colnames(x) <- par5 | | 3 | y <- array(y,dim=c(length(y),1)) | | 4 | colnames(y) <- par6 | | 5 | z <- array(z,dim=c(length(z),1)) | | 6 | colnames(z) <- par7 | | 7 | d <- data.frame(cbind(z,y,x)) | | 8 | colnames(d) <- list(par7,par6,par5) | | 9 | par1 <- as.numeric(par1) | | 10 | par2 <- as.numeric(par2) | | 11 | if (par1>500) par1 <- 500 | | 12 | if (par2>500) par2 <- 500 | | 13 | if (par1<10) par1 <- 10 | | 14 | if (par2<10) par2 <- 10 | | 15 | library(GenKern) | | 16 | library(lattice) | | 17 | panel.hist <- function(x, ...) | | 18 | { | | 19 | usr <- par("usr"); on.exit(par(usr)) | | 20 | par(usr = c(usr[1:2], 0, 1.5) ) | | 21 | h <- hist(x, plot = FALSE) | | 22 | breaks <- h$breaks; nB <- length(breaks) | | 23 | y <- h$counts; y <- y/max(y) | | 24 | rect(breaks[-nB], 0, breaks[-1], y, col="black", ...) | | 25 | } | | 26 | bitmap(file="cloud1.png") | | 27 | cloud(z~x*y, screen = list(x=-45, y=45, z=35),xlab=par5,ylab=par6,zlab=par7) | | 28 | dev.off() | | 29 | bitmap(file="cloud2.png") | | 30 | cloud(z~x*y, screen = list(x=35, y=45, z=25),xlab=par5,ylab=par6,zlab=par7) | | 31 | dev.off() | | 32 | bitmap(file="cloud3.png") | | 33 | cloud(z~x*y, screen = list(x=35, y=-25, z=90),xlab=par5,ylab=par6,zlab=par7) | | 34 | dev.off() | | 35 | bitmap(file="pairs.png") | | 36 | pairs(d,diag.panel=panel.hist) | | 37 | dev.off() | | 38 | x <- as.vector(x) | | 39 | y <- as.vector(y) | | 40 | z <- as.vector(z) | | 41 | bitmap(file="bidensity1.png") | | 42 | op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=cor(x,y), xbandwidth=dpik(x), ybandwidth=dpik(y)) | | 43 | image(op$xords, op$yords, op$zden, col=terrain.colors(100), axes=TRUE,main="Bivariate Kernel Density Plot (x,y)",xlab=par5,ylab=par6) | | 44 | if (par3=="Y") contour(op$xords, op$yords, op$zden, add=TRUE) | | 45 | if (par4=="Y") points(x,y) | | 46 | (r<-lm(y ~ x)) | | 47 | abline(r) | | 48 | box() | | 49 | dev.off() | | 50 | bitmap(file="bidensity2.png") | | 51 | op <- KernSur(y,z, xgridsize=par1, ygridsize=par2, correlation=cor(y,z), xbandwidth=dpik(y), ybandwidth=dpik(z)) | | 52 | op | | 53 | image(op$xords, op$yords, op$zden, col=terrain.colors(100), axes=TRUE,main="Bivariate Kernel Density Plot (y,z)",xlab=par6,ylab=par7) | | 54 | if (par3=="Y") contour(op$xords, op$yords, op$zden, add=TRUE) | | 55 | if (par4=="Y") points(y,z) | | 56 | (r<-lm(z ~ y)) | | 57 | abline(r) | | 58 | box() | | 59 | dev.off() | | 60 | bitmap(file="bidensity3.png") | | 61 | op <- KernSur(x,z, xgridsize=par1, ygridsize=par2, correlation=cor(x,z), xbandwidth=dpik(x), ybandwidth=dpik(z)) | | 62 | op | | 63 | image(op$xords, op$yords, op$zden, col=terrain.colors(100), axes=TRUE,main="Bivariate Kernel Density Plot (x,z)",xlab=par5,ylab=par7) | | 64 | if (par3=="Y") contour(op$xords, op$yords, op$zden, add=TRUE) | | 65 | if (par4=="Y") points(x,z) | | 66 | (r<-lm(z ~ x)) | | 67 | abline(r) | | 68 | box() | | 69 | dev.off() |
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To cite Wessa.net in publications use:
Wessa, P. (2008), Free Statistics Software, Office for Research Development and Education,
version 1.1.22-r6, URL http://www.wessa.net/
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