[R] Grouped regression

[SKrishna]

Dear David, 

Thanks for the tip about naming the levels first with levels before
assigning them.

However, your answer does not solve the original question that I requested
help on.  I will post a simplified version as a separate query, partly
because the subject line on the present one seems to match one of the spam
filters in place for the list (thereby necessitating moderation).

Best, Suresh


David Winsemius wrote
> 
> On Jul 8, 2012, at 7:55 AM, SKrishna wrote:
> 
>>
>> Hi, Thanks for the reply.
>>
>>> Sex[120:144]<-factor(TG) #Renaming some males to transgender, to
>>> create 3 groups, male, female and transgender
>>
>> Sorry, that should have been
>>
>> Sex[120:144]<-factor('TG')
>>
>> The original line did not have the quotes.
> 
> I showed you how to fix that in the reply which you have not copied.  
> Is this further evidence that you have not read the Posting Guide?
> 
>>
>>> I'm getting the sense that this is homework. You offer no information
>>> about you business or academic affiliations and appear not to have
>>> read the Posting Guide. Also setting up regressions is covered in the
>>> "Introduction to R" which you are requested to have reviewed before
>>> asking questions on Rhelp. Section 11 would be particularly relevant
>>> here.
>>
>> No, it is not homework, I just used the cats dataset to produce a  
>> working
>> example, as the Posting Guide suggests. I did not get the  
>> information I was
>> looking for (how to create a subset regression where the slope and/or
>> intercept for some factors were constrained to be the same) from the
>> "Introduction to R" which I did look at (along with searching the  
>> archives
>> of R-help and doing  a general Google search and going through the  
>> first 100
>> or so results and looking at Julian Faraway's book on Regression  
>> Analysis as
>> well as some material from John Fox...
> 
> The term "subset regression" is not one I recognize but it sounded  
> from your description that you wanted what you would get with:
> 
>  > out<-lm(Bwt~Sex+Hwt)
>  > out
> 
> Call:
> lm(formula = Bwt ~ Sex + Hwt)
> 
> Coefficients:
> (Intercept)         SexM        SexTG          Hwt
>       1.4716       0.2144       0.6854       0.0965
> 
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> 
> It is unfortunate that you continue (along with so many users of  
> Nabble) to fail to include context.
> 
> ______________________________________________
>> R-help@ mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
> 
> David Winsemius, MD
> Heritage Laboratories
> West Hartford, CT
> 
> ______________________________________________
> R-help@ mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
> 


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