[R] 3D graphics with R

[A.J. Rossini]

>>>>> "jonathan" == Jonathan Baron <baron at cattell.psych.upenn.edu> writes:

    jonathan> On 05/18/02 23:25, Johannes Schulte wrote:
    >> Is there any graphical frontend/secondary programm (freely availible for
    >> Windowsor Linux) which can be used with R to display the results of a
    >> principle component analysis in 3D space (rotatable!?)? It works with
    >> Spotfire, but is there any freely or cheaply availible programmß

    jonathan> I don't think so.  But take a look at biplot in the mva package,
    jonathan> which produces VERY interesting plots in _two_ dimensions, and
    jonathan> the xgobi package, which produces 3D plots that can be rotated
    jonathan> (as I recall - I find these too mind-boggling to deal with, so I
    jonathan> don't use it anymore).  Perhaps you can make a "triplot"
    jonathan> function.

    jonathan> For data with more than 2 dimensions, I find "matplot" (in the
    jonathan> base package) to be more useful than xgobi (at least for my small
    jonathan> brain, which has trouble visualizing in 3D).  I haven't thought
    jonathan> about how to use this to display principal components, but I'm
    jonathan> sure there is a way (with loadings()).

The ROrca package can also be used to display, brush, and manipulate
projections from higher dimensional space to 3d.  None explicitly work
with PCA, though it wouldn't be hard to code up what it would take to
make it work.  

Info on Orca is at

   http://software.biostat.washington.edu/statsoft/orca

while the ROrca link (requires SJava from Omegahat)is at 

   http://software.biostat.washington.edu/~rossini/rorca/   

It's not "finished", though the examples work for nearly all people
that I've heard from.

best,
-tony

-- 
A.J. Rossini				Rsrch. Asst. Prof. of Biostatistics
U. of Washington Biostatistics		rossini at u.washington.edu	
FHCRC/SCHARP/HIV Vaccine Trials Net	rossini at scharp.org
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