[R] Comparing Type 2 regressions

Prof Brian Ripley ripley at stats.ox.ac.uk
Wed Feb 9 17:12:18 CET 2000

> Date: Wed, 09 Feb 2000 10:11:20 -0500
> From: "Pete St. Onge" <pete at seul.org>
> Subject: Comparing Type 2 regressions Was: [R] Ancova in R?
> For starters, thanks to everyone who responsded to my previous request for
> help about Type 2 regression. 
> > > I see the R-sm has the ancova thing happening, but I kind of doubt that
> > > what I'm trying to do is "smoothing"...
> > 
> > And what is R-sm? An obscure reference to the sm package on CRAN,
> > perhaps?   There is a function sm.ancova in that package, and that
> > compares a set of nonparametric regression curves.
> To follow this up with the other thread, is there a way to compare two or
> more lines based on Type 2 regression techniques (or lines based on the 1st
> principal component) to see if they are significantly different from each
> other with respect to their slopes and intercepts?

Well, that has nothing to do with sm.ancova, and it is quoting me without
due credit!

> This is not a subject that I've seen dealt with in any of the stats books
> that I've read, and pointers to other references that do would be
> appreciated.

Once again. W.A. Fuller (1977), Measurement Error Models, has the
appropriate theory.

Brian D. Ripley,                  ripley at stats.ox.ac.uk
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 272860 (secr)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595

r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html
Send "info", "help", or "[un]subscribe"
(in the "body", not the subject !)  To: r-help-request at stat.math.ethz.ch

More information about the R-help mailing list