Berton,
What you say makes sense and helps. I could do a parametric
bootstrapping. However, I cannot make predict.nlme work at all, even
without the se's. It would save me a lot of time to be able to use
the predict as the statistic in boot.
Does predict.nlme work at all? It is a listed
I am trying to make predictions with se's using a nlme (kew11.nlme
below). I get an error indicating levels for a factor are not allowed.
I have searched and read Rnews, MEMSS, MASS, R-Help, and other lists
in Spanish where I found questions similar to mine but not solution.
I do not really
multivariate emissions.
I will be grateful for your suggestions.
All the best,
--
Emilio A. Laca
One Shields Avenue, 2306 PES Bldg.
Plant Sciences
[EMAIL PROTECTED]
University of Californiafax: (530)
752-4361
Davis
for taking the time to reply.
eal
On Jul 15, 2005, at 6:35 AM, Douglas Bates wrote:
On 7/13/05, Simon Blomberg [EMAIL PROTECTED] wrote:
At 09:35 AM 14/07/2005, Emilio A. Laca wrote:
I need to specify a model similar to this
lme.formula(fixed = sqrt(lbPerAc) ~ y + season + y:season, data
I need to specify a model similar to this
lme.formula(fixed = sqrt(lbPerAc) ~ y + season + y:season, data = cy,
random = ~y | observer/set, correlation = corARMA(q = 6))
except that observer and set are actually crossed instead of nested.
observer and set are factors
y and lbPerAc are
, random=~1|Region/Point/Core) just
returned:
Error in MEEM(object, conLin, control$niterEM) :
Singularity in backsolve at level 0, block 1
--
Emilio A. Laca
One Shields Avenue, 2306 PES Building
Agronomy and Range Science[EMAIL PROTECTED]
University of California
help ;-] Thanks!
--
Emilio A. Laca
One Shields Avenue, 2306 PES Building
Agronomy and Range Science[EMAIL PROTECTED]
University of California fax: (530) 752-4361
Davis, California 95616(530) 754-4083
a
lead on this?
Any other pointers on using R in mac os x will be greatly appreciated.
Thank you so much for your time on this question, and for everything you put
into rmac!
EAL
==
Emilio A. Laca
One Shields Avenue, 2306 PES