| To: | "Buttrey, Samuel" <sebuttre@nps.navy.mil> |
|---|---|
| Subject: | Re: Summary: bug-let in predict.glm() |
| From: | Don McKenzie <dmck@silvae.cfr.washington.edu> |
| Date: | Wed, 6 Dec 2000 10:42:11 -0800 (PST) |
| Cc: | s-news@wubios.wustl.edu |
| In-reply-to: | <4AC8083E58DB1945B259DF2C15FAB9E33BFD7C@ESSEX.nps.navy.mil> |
On Wed, 6 Dec 2000, Buttrey, Samuel wrote:
> Many thanks to those who responded to my question about a bug in
> predict.glm.
>[snip]
> Finally, Gerard ("All Others Bring Data") Jean noted an additional problem
> with predict.glm(); it chokes when a data frame has had a new level added to
> some factor variable, even if no observation takes on that level. Again
> predict.gam() can handle this.
Doesn't this make sense though? On what basis could one predict a
response at an unmodelled level of a factor?
Thanks for enlightenment..
_______________________________________________________________________
DON MCKENZIE
Research Ecologist
College of Forest Resources, Box 352100
University of Washington
Seattle, WA 98195
206.543.2789
dmck@u.washington.edu
_______________________________________________________________________
-
|
| <Prev in Thread] | Current Thread | [Next in Thread> |
|---|---|---|
| ||
| Previous by Date: | Specifying position of minor tick marks for trellis, Frank E Harrell Jr |
|---|---|
| Next by Date: | Summary: Overlaying Plots, Brian Beckage |
| Previous by Thread: | Summary: bug-let in predict.glm(), Buttrey, Samuel |
| Next by Thread: | US cencus tracts, Gardar Johannesson |
| Indexes: | [Date] [Thread] [Top] [All Lists] |