[R] is there a way to visualize 3D normal distributions?
Ben Bolker
bolker at zoo.ufl.edu
Fri Feb 3 18:35:10 CET 2006
In response to your last question --
Duncan already gave you the answer in his last e-mail -- to give
an explicit example, for a particular set of means and
variance-covariance matrix:
library(rgl)
demo(shapes3d)
rgl.clear()
sphere <- ellipsoid3d(2,2,2,qmesh=TRUE)
means <- c(0,0,0)
S <- matrix(c(3,1,-1,1,2,-1,-1,-1,2),nrow=3)
ellipsoid <- translate3d(rotate3d(sphere,matrix=chol(S)*qnorm(0.975)),
means[1],means[2],means[3])
shade3d(ellipsoid)
axis3d()
Duncan Murdoch wrote:
> On 2/2/2006 5:01 PM, Michael wrote:
>
>> shape3d only gives rigid sphere... not the free form ellipsoid that I
>> want...
>
>
> ? If you run the demo, you'll see ellipsoids...
>
> You just need to work out the appropriate transform to apply to a sphere
> to get the ellipsoid you want. I imagine something like this:
>
> sphere <- ellipsoid3d(2,2,2, qmesh=TRUE)
> ellipsoid <- translate3d(rotate3d(sphere, matrix=chol(S)), xbar, ybar,
> zbar)
>
> shade3d(ellipsoid)
>
> is what you want, where S is the covariance matrix, and xbar,ybar,zbar
> have the obvious meaning. (rotate3d() is used with a matrix that isn't
> a rotation matrix; it may not be obvious that this is allowed, but it is.)
>
> Duncan Murdoch
>
>
>>
>> On 2/2/06, Ben Bolker <bolker at ufl.edu> wrote:
>>
>>> Duncan Murdoch <murdoch <at> stats.uwo.ca> writes:
>>>
>>>> On 2/2/2006 3:39 AM, Michael wrote:
>>>>
>>>>> Hi all,
>>>>>
>>>>> How do I visualize a contour of a tri-variate normal distribution?
>>>>>
>>>>> I just like to see the ellipsoid very much. I hope there is a easy way
>>>
>>> or
>>>
>>>>> existing method in R.
>>>>
>>>> The misc3d package includes a function for 3d contour plots; that
>>>> should
>>>> do what you want.
>>>>
>>> is contour3d really necessary or could you just plot ellipsoids?
>>> (library(rgl); demo(shapes3d)) -- still a little bit of figuring
>>> to do, but this should get you most of the way there.
>>>
>>> Ben Bolker
>>>
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>>
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>>
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