[R] Pairwise deletion in a linear regression and in a GLM ?

[Jose Iparraguirre]

Hi Arnaud,

A quick help search of lm or glm tells you that 'the "factory-fresh" default is na.omit'.
If you then look up 'na.omit', you'll read that it 'returns the object with incomplete cases removed'.
So, pairwise deletion is the default option in both lm and glm.

On a related note, it goes without saying that pairwise deletion is not good practice in most cases, and that R has ways to impute these missing cases depending on assumptions regarding the cause or nature of their missingness.

Regards,

José


José Iparraguirre
Chief Economist
Age UK




-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Arnaud Mosnier
Sent: 13 December 2012 15:40
To: r-help at r-project.org
Subject: [R] Pairwise deletion in a linear regression and in a GLM ?

Dear useRs,

In a thesis, I found a mention of the use of pairwise deletion in linear
regression and GLM (binomial family).
The author said that he has used R to do the statistics, but I did not find
the option allowing pairwise deletion in both lm and glm functions. Is
there somewhere a package allowing that ?

Thanks,

Arnaud

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