Skip to content

Paternity data analysis problem

2 messages · Moshiur Rahman, Ben Bolker

#
Hi R-helps,

I did an experiment with FAs ['High' and 'Zero'(no w-3) quality; n=24 for
each group]. Then I did AI to see their sperm competitiveness based on
their paternity performance. My data is as below where Fish ID- Blind ID
for each fish; Group ID- Dietary group ID; Diet quality - High=1, zero=0;
Babies for paternity- total no. of babies got from females; Success -
Babies shared/paterned by focal male; Failure - Babies shared/paterned by
competitor, Proportion - Success/(Success+Failure), and the predictor
traits are Viability, CASA PC1 and Body FAs. I?d like to examin:

 1) effects of diet on paternity performance of fish (either high/low or
both);

2) effects of predictor traits on paternity success.

I ran the attached  codes to have my result sbut each model gives me
different results with overdispersion. So, can you help me to give me some
valuable suggesions to solve this problem. I'll really appreciate your kind
assistance and will be grateful to you.

With kind regards,
Moshi
#
Moshiur Rahman <mrahmankufmrt at ...> writes:
[snip]
The codes weren't attached, that I saw -- the mailing list software
often strips off attachments.  

  In general you should assess overdispersion in the most complex
(maximal) model you plan to analyze.

  Please respond to David Duffy's response to you, rather than
re-posting ... or cross-posting to R-help ...

  Ben Bolker