[R] 3D plot of a bivariate normal distribution

[Rafael Bertola]

Hi,

I've used the Mathematica to produce 3D graphics, contour plots of a
bivariate normal distribution

Now I want make these graphics in R, but i do not know how.
I would like to:
- Plot a 3D graph for some different variance matrix
- Plot the contour plots
- Find and try to plot (in the 3d graph ou contour plot) the (1-a)%
confidence region based in a chi-square(a) with the degrees of freedom
equal a 2 or bigger.

Below is the Mathematica Notebook that i've used until now


<< "Graphics`PlotField`"

NB[x_,y_]:=(1/((2 Pi)*Sqrt[a*b*(1-c^2)]))*Exp[(-1/(2*(1-c^2)))*( 
          ((x-u)/Sqrt[a])^2 + ((y-v)/Sqrt[b])^2 
			- 2*c(((x-u)/Sqrt[a])((y-v)/Sqrt[b]))
								)]

{{a,c}, {c,b}} = {{1,0}, {0,1}};  The covariance Matrix
{u,v} = {0,0};                    Mean vector
Plot3D[NB[x,y],{x,-1.5,1.5},{y,-1.5,1.5},
		AxesLabel->{x,y,z},
		BoxRatios->{1,1,1}];
ContourPlot[NB[x,y],{x,-1,1},{y,-1,1},
		Axes->True, 
		AxesLabel->{x,y}];

3d graph rotation
Do[
	Plot3D[NB[x,y],{x,-1.5,1.5},{y,-1.5,1.5},
		PlotPoints->20,
		Mesh ->False,
		SphericalRegion ->True,
		Axes ->None,
		Boxed ->False,
		ViewPoint->{2 Cos[t], 2 Sin[t], 1.3},
		BoxRatios->{1,1,1}
	],{t, 0, 2Pi-2Pi/36, 2Pi/36}]


Thanks, 
Rafael
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  bertola at fastmail.fm

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