[R-sig-ME] Welcome to the "R-sig-mixed-models" mailing list (Digest mode)

Moshiur Rahman mrahmankufmrt at gmail.com
Sat Jul 20 04:57:30 CEST 2013

Dear R-helpers,

I did an experiment with Guppy where I had two dietary groups ("High" and
"Low"). I completed all my data analysis, but stacked in "paternity
analysis". I ran the attached model to analyse them, but as a novice in R,
it's very hard for me to confirm whether this gives me the correct output
or not. I would like to examine the effect of the predictor traits (VAP,
Viability, Body FAs) on paternity success (Proportion). Here, I fitted
generalized linear models (GLMs) using a logit-link function as my data has
some zeroes and ones. I also like to use quasi-GLMs to correct for
overdispersion. Now, I need some help from you guys to estimate the
paternity success of my high group or both groups?

 With kind regards,
 <r-sig-mixed-models at r-project.org> <r-sig-mixed-models at r-project.org>

On Sat, Jul 20, 2013 at 10:52 AM,
<r-sig-mixed-models-request at r-project.org>wrote:

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PhD Candidate
School of Animal Biology/Zoology (M092)
University of Western Australia
35 Stirling Hwy, Crawley, WA, 6009
Mob.: 061-425205507

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