Hello r-help,
As the title suggests, I'm attempting to fit a negative binomial GLM
with a fixed dispersion parameter.
Both glm.nb() and glm(..., family=negative.binomial(theta, ...)) (using
MASS) do not appear to allow this; upon specifying a value for theta,
each then proceeds to re-estimate it.
Hello r-help,
I have a lengthy vector of data (with values anywhere from 1-200), and
another index vector of 'groups' representing values 0-2, 3-5, 6-8, ...
of length 67. The index vector has the structure (1, 4, 7, ... , 196,
199), where each value is the midpoint of each respective group.
I'm
anada
[EMAIL PROTECTED]
-Original Message-
From: jim holtman [mailto:[EMAIL PROTECTED]
Sent: Thursday, September 13, 2007 6:49 PM
To: Tobin, Jared
Cc: [EMAIL PROTECTED]
Subject: Re: [R] Collapsing data frame; aggregate() or better function?
The second argument for aggregate is suppos
Hello r-help,
I am trying to collapse or aggregate 'some' of a data frame. A very
simplified version of my data frame looks like:
> tester
trip set num sex lfs1 lfs2
1 313 15 5 M23
2 313 15 3 F12
3 313 17 1 M01
4 313 17 2 F11
5 313 17
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