[R] regression analysis with interactions
Erik Iverson
eriki at ccbr.umn.edu
Thu Aug 5 23:14:33 CEST 2010
Jennifer Hou wrote:
> Thank you very much for your kind reply, I have found that the error
> was in the stdCoeff function and not in the linear model. summary()
> works pretty well on my model, I will simply use another function to
> compute my coefficients. Best regards, Jennifer
>
See ?coef , summary should also give them to you.
>> Date: Wed, 4 Aug 2010 15:27:40 -0500 From: eriki at ccbr.umn.edu To:
>> jennifer.hou at hotmail.de CC: r-help at r-project.org Subject: Re: [R]
>> regression analysis with interactions
>>
>>
>>
>> Jennifer Hou wrote:
>>> Hello,
>>>
>>> I have got a linear model that looks like this: lm(criterion ~
>>> variable.A*variable.a + variable.B*variable.b + variable.C
>>> *variable.c)
>>>
>>> The output computed with stdCoeff() seems to be all right, but it
>>> does not show the coefficients of the interaction of the first
>>> pair of variables. Instead, it shows "NA":
>>>
>> And what package is the `stdCoeff` function in? If we don't have a
>> reproducible example, it's very hard to help.
>>
>> What does calling the summary function on your lm object give you?
>>
>>
>>> (Intercept) NA
>>>
>>> variable.A 0.0925094150 variable.a 0.1517246479 variable.B
>>> -0.0023847092 variable.b 0.0256653197 variable.C 0.0194313471
>>> variable.c 0.0192897539
>>>
>>> variable.A : variable.a NA variable.B : variable.b 0.0471111439
>>> variable.C : variable.c 0.0696702457
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> [[alternative HTML version deleted]]
>
> ______________________________________________ R-help at r-project.org
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