Last week I asked about data ellipses with rgl:::ellipse3d() with lines
showing the principal axes.
(The goal is a visual demonstration of PCA as a rotation of variable
space to component space.)
I was trying, unsuccessfully, to use princomp() to generate the PCA axes
and plot them using
segments3d:
> PC <- princomp(trees)
> sdev <- PC$sdev # component standard deviations
> sd <- sqrt(diag(cov)) # variable standard deviations
>
> # vectors in variable space of principal components
> vec <- matrix(mu,3,3, byrow=TRUE) + diag(sd) %*% PC$loadings
>
> for (j in 1:3) {
> mat <- rbind(mu, vec[j,])
> segments3d(mat, col="red")
> }
However, it occurred to me that these axes are just the orthogonal axes
of the unit sphere
that is transformed (using chol()) in ellipse3d, so plotting the axes
transformed in the
same way would give me what I want.
Looking at the result returned by ellipse3d, I see a normals component,
but I'm not sure if this
represents what I want, or, if it is, how to use it to draw the ellipse
major axes in the plot.
> e1 <-ellipse3d(cov, centre=mu, level=0.68)
> str(e1)
List of 6
$ vb : num [1:4, 1:386] 4.95 2.64 2.03 1.00 6.74 ...
$ ib : num [1:4, 1:384] 1 195 99 196 51 197 99 195 27 198 ...
$ primitivetype: chr "quad"
$ homogeneous : logi TRUE
$ material : list()
$ normals : num [1:4, 1:386] 0.290 -0.902 -0.320 1.000 0.635 ...
- attr(*, "class")= chr "qmesh3d"
-Michael
--
Michael Friendly Email: friendly AT yorku DOT ca
Professor, Psychology Dept.
York University Voice: 416 736-5115 x66249 Fax: 416 736-5814
4700 Keele Street http://www.math.yorku.ca/SCS/friendly.html
Toronto, ONT M3J 1P3 CANADA
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