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List:       r-sig-mixed-models
Subject:    Re: [R-sig-ME] Comparing two models with different sample sizes
From:       Thierry Onkelinx via R-sig-mixed-models <r-sig-mixed-models () r-project ! org>
Date:       2021-10-06 7:24:25
Message-ID: CAJuCY5w0xF9b4pxU8rUFcv-mare36y-kaekpeGKBA7wOm_Na4Q () mail ! gmail ! com
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No. The likelihood of a model is given the data. Only compare models based
on the same data. Therefore make sure there are no missing values in the
covariates when comparing models. When na.action = na.omit the model will
silently ignore observations with missing values a covariate.

ir. Thierry Onkelinx
Statisticus / Statistician

Vlaamse Overheid / Government of Flanders
INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND
FOREST
Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance
thierry.onkelinx@inbo.be
Havenlaan 88 bus 73, 1000 Brussel
www.inbo.be

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what the experiment died of. ~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data. ~ Roger Brinner
The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of data.
~ John Tukey
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<https://www.inbo.be>


Op wo 6 okt. 2021 om 07:44 schreef Simon Harmel <sim.harmel@gmail.com>:

> Dear Colleagues,
>
> I had to remove three extremely outlying (in terms of residuals, cook's
> distances, and hat values) observations from my model.
>
> Now, can I compare the fit of my initial model that has three more
> observations with my outlier-corrected model using AICc?
>
> Thanks,
> Simon
>
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>
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> R-sig-mixed-models@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
>

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