[R] predicting waste per capita - is a gaussian model correct?

[Jeff Newmiller]

It could possibly be alright, except that:

a) you included no reference to your other post
b) you posted here using HTML format, which can severely corrupt what we see on this plain text only mailing list
c) your question is off topic, as your question is about statistics (theory) rather than R (a syntax and semantics for implementing theory).

So, no, not ok this time.

On May 9, 2020 5:40:42 PM PDT, Alessandra Bielli <bielli.alessandra using gmail.com> wrote:
>Dear list,
>
>I am new to this list and I hope it is ok to post here even though I
>already posted this question on Cross Validated.
>
>I am trying to predict the daily amount of waste per person produced in
>the
>fishery sector. We surveyed fishing boats at the end of their fishing
>trip
>and the variables I have are duration of trip (days), number of
>fishers,
>waste category and waste weight (g), boat ID.
>
>For each fishing trip I calculated grams of waste per person per day,
>i.e.
>daily waste per capita. To predict daily waste per capita, I am using a
>gaussian mixed effect model with log(waste per capita) as response
>variable
>(I transformed it cause it was not normally distributed - and I'm not
>sure
>it's correct to do so). Explanatory variable is waste category and boat
>ID
>is a random effect. I use the predict function to estimate daily waste
>per
>capita for each category and then back transformed it with exp(...).
>
>My question is: is it correct to transform daily weight per capita to
>fit a
>gaussian model?
>
>Thanks so much for your advice!
>
>Alessandra
>
>	[[alternative HTML version deleted]]
>
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-- 
Sent from my phone. Please excuse my brevity.