Mora [EMAIL PROTECTED]
cc:r-help@stat.math.ethz.ch
Subject:Re: [R] nlme questions
Both your questions seem too vague to me. You might get more useful
replies if you provide a simple example in a few lines of R code that a
reader could copy from your email into R and see the result
]
[mailto:[EMAIL PROTECTED] Behalf Of Christian Mora
Sent: Friday, November 18, 2005 4:01 AM
To: Spencer Graves
Cc: r-help@stat.math.ethz.ch
Subject: Re: [R] nlme questions
Spencer;
Thanks for your suggestions. I found the problem is in the
library nlme. If
you define phi1
Mora' [EMAIL PROTECTED], Spencer Graves
[EMAIL PROTECTED]
cc:r-help@stat.math.ethz.ch
Subject:RE: [R] nlme questions
Warning: non-expert thoughts to follow.
When passing an object to a predict method, the method looks at (a copy) of
the original information from the dataframe
Both your questions seem too vague to me. You might get more useful
replies if you provide a simple example in a few lines of R code that a
reader could copy from your email into R and see the result (as
suggested in the posting guide! www.R-project.org/posting-guide.html).
The
Dear R users;
Ive got two questions concerning nlme library 3.1-65 (running on R 2.2.0 /
Win XP Pro). The first one is related to augPred function. Ive been working
with a nonlinear mixed model with no problems so far. However, when the
parameters of the model are specified in terms of some
Are your categorical variables factors or ordered factors? If
yes, lm and many other functions including, I believe, nlme, will
automatically create the required dummy variables using contrasts
specified by options()$contrasts. Consider the following:
options(contrasts)
$contrasts
I'm trying to better understand the nlme package and have a few questions.
1.)
Other than using various coding strategies (e.g., dummy coding, effect coding), is
there a way to identify group membership (i.e., treatment) directly? For example, the
following code will fit a two group
