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Dear Antonio Olinto,
Firstable, thanks for your help.  I would be very grateful if you could send
me that example showing a demostration of how to solve Quinn &
Deriso's example in R.

Thanks again



>===== Original Message From Scientific forum on fish and fisheries
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>Dear Abad,
>
>Another statistic tool to access the magnitude of the effects of your
variables
>is the analysis of deviance, given in the generalized linear models. In GLM
you
>can use both category and continuous data, and also you can choose
>distributions other than gaussian, like gamma.
>
>There's an example in Quinn & Deriso 1999 (Quantitative Fish Dymamics). See
>pages 18 to 25. They check the effects of year, area and depth on CPUE. You
can
>do the same with shell height. In the example they use normal distribution,
log
>link function and all variables are categories. Depending on your data, you
can
>improve this.
>
>I use the program R (www.r-project.org), it's a freeware and runs on
different
>plataforms. If you want I can send you a pdf demostrating how to solve Quinn
&
>Deriso's example in R.
>
>Best regards,
>
>Antonio Olinto Avila da Silva
>Sao Paulo Fisheries Institute
>Brazil
>
>
>Citando Antonio Hervas Abad <[log in to unmask]>:
>
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>> I'm working with scallop (pecten maximus) stock assessment in Ireland.  One
>> of the stock assessment procedures that i am carrying on is a sampling
>> programm from the landings.  Shell height is recoreded from each landing.
>> After several measurements from differents vessels, differents fishing
>> areas and different time of the year i want to study the effect of vessels,
>> season and location, on the scallop size structure obtained from the
>> sampling.  I understand that analysis of variance (ANOVA or MANOVA) is the
>> method to use for this study but maybe some of you has experience working
>> with similars studies and can advice to me of which statistic analysis is
>> the more suitable.
>>
>> Thanks very much
>>
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>-------------------------------------------------
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