On Mon, 2 Jun 2008, Tokuyasu, Taku wrote:
Hello,
I am interested in performing a 2D loess smooth on microarray data, i.e.
log2 ratios on a 2D grid, using different spans in the horizontal and
vertical directions (the immediate reason being that replicate spots are
laid out in the horizontal direction). Is it possible to do this in R?
Functions like loess(stats) seem to apply the same span for all
predictors, which carries over to functions like ma2D(marray).
See the next comment. 'span' applies to 2D distances, and I think you
need to rescale your inputs so Euclidean distance is appropriate.
As an elementary second question, are there circumstances where one
expects to see a substantial difference in the fits between say loess(y
~ x1 + x2) and loess(y ~ x1 * x2) with an interaction term (and if so,
what are they)?
From the help page:
formula: a formula specifying the numeric response and one to four
numeric predictors (best specified via an interaction, but
can also be specified additively). Will be coerced to a
formula if necessary.
So the two versions both specify smoothing in 2D.
You can use things like lo(x1) + lo(x2) in some gam fits.
It often helps to read the primary sources, in this case chapters in the
White Book (Chambers & Hastie, nominally 1992, actually published in
1991).
Many thanks,
_Taku
Taku A. Tokuyasu, PhD
UCSF Helen Diller Family Comprehensive Cancer Center
San Francisco, CA 94143-0808
--
Brian D. Ripley, [EMAIL PROTECTED]
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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