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    <p><code>jet.colors</code> is the R-answer to one of hte Matlab color palettes:</p> <pre><code>points = seq(-2, 0, length=20) #create a grid XY = expand.grid(X=points,Y=-points) # A z-function Zf &lt;- function(X,Y){ 2./exp((X-.5)^2+Y^2)-2./exp((X+.5)^2+Y^2); } # populate a surface Z &lt;- Zf(XY$X, XY$Y) zlim &lt;- range(Z) zlen &lt;- zlim[2] - zlim[1] + 1 jet.colors &lt;- # function from grDevices package colorRampPalette(c("#00007F", "blue", "#007FFF", "cyan", "#7FFF7F", "yellow", "#FF7F00", "red", "#7F0000")) colorzjet &lt;- jet.colors(100) # 100 separate color require(rgl) open3d() rgl.surface(x=points, y=matrix(Z,20), coords=c(1,3,2),z=-points, color=colorzjet[ findInterval(Z, seq(min(Z), max(Z), length=100))] ) axes3d() rgl.snapshot("copyMatlabstyle.png") </code></pre> <p><img src="https://i.stack.imgur.com/sEHQ7.png" alt="CopyMatlab.style.png&quot;"></p> <p>I will admit that getting the colors to line up with the "Z-axis" (which is actually the rgl y-axis) seemed very unintuitive. If you want the shiny, specular effect that Matlab delivers you can play with the angle of illumination.</p> <p><img src="https://i.stack.imgur.com/gAfyF.png" alt="enter image description here"></p> <p>You can also add or remove lighting:</p> <pre><code>clear3d(type = "lights") light3d(theta=0, phi=0) light3d(theta=0, phi=0) # twice as much light. </code></pre> <p>After: </p> <pre><code> grid3d("x") grid3d("y") grid3d("z") rgl.snapshot("copyMatlabstyle3.png") </code></pre> <p><img src="https://i.stack.imgur.com/UuJlo.png" alt="enter image description here"></p> <p>You could have put the y-grid "behind" the surface with:</p> <pre><code>grid3d("y+") </code></pre> <p>Similar tweaks to the <code>axes3d</code> or <code>axis3d</code> calls could move the location of the scales.</p> <p><strike>For further examples, look at <a href="http://rgm3.lab.nig.ac.jp/RGM/R_image_list" rel="nofollow noreferrer">http://rgm3.lab.nig.ac.jp/RGM/R_image_list</a> and search for 'plot3d' which brings up examples of the <code>R2BayesX::plot3d</code> function,</strike> Look at Karline Soetaert's plot3D package vignette, <a href="http://www.google.com/url?sa=t&amp;rct=j&amp;q=&amp;esrc=s&amp;source=web&amp;cd=1&amp;cad=rja&amp;ved=0CCwQFjAA&amp;url=http://cran.r-project.org/web/packages/plot3D/vignettes/volcano.pdf&amp;ei=wDGqUtmlOsHgoASsxYKoBg&amp;usg=AFQjCNEMlvmzmG9QwD0PpyY3eWjdYcpUpQ&amp;sig2=FZ0r1FWTkKjnbPxG0Drusw" rel="nofollow noreferrer">"50 ways to plot a volcano"</a></p>
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    1. POHow to create 3D - MATLAB style - surface plots in R
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    1. POHow to create 3D - MATLAB style - surface plots in R
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    1. COVery nice. You could use `grid3d()` to add surface grids as in the MATLAB plot. I must admit I find the specular lighting a distraction in these cases. (For what it's worth, there is actually a bit of discussion of 3D perspective plots in one of Bill Cleveland's books -- so they have at least some statistical-graphics-purist credentials. Also, I agree with commenter above that Tufte would think 3D was a waste in this example, but he certainly doesn't disapprove of it in general -- one of his headings is "escaping flatland" ...)
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    2. COI find 3d graphics particularly useful when placed side-by-side with contour plots. The contour plots allow sensible extraction of numeric values, while the 3d plots let one appreciate the "shape" and locations of the most abrupt changes.
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    3. COThanks DWin not only for the beautiful answer but also for the web links to read on. In this example color is not useful (but it was an easy example). I feel that color+3D is useful when one would like to simultaneously map another dimension to the plot. I find such plots very useful, not necessarily in the publication/reporting stage but also in the data analysis stage, to able to visualize more than 2 dimensions simultaneously. Cheers and thanks.
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