[R] parameterization of factor in R

[Oana Mocila]

Dear Prof Brian Ripley and Graves,

Thank you for your replies. MASS has been very helpful!

Oana


>From: Spencer Graves <spencer.graves at pdf.com>
>To: Prof Brian Ripley <ripley at stats.ox.ac.uk>
>CC: Oana Mocila <oanaom at hotmail.com>, r-help at stat.math.ethz.ch
>Subject: Re: [R] parameterization of factor in R
>Date: Tue, 27 Dec 2005 12:27:05 -0800
>
>	  If you are not familiar with MASS (Modern Applied Statistics with S, 4th 
>ed, Venables and Ripley 2002, Springer), I can assure you it is an 
>excellent reference for learning R.  There are many books on R that I have 
>not read, but among the books in my personal library, I refer to MASS 
>fairly frequently.  If it is beyond your budget and not in a local library, 
>I encourage you to investigate the possibility of having that library 
>obtain a copy.  If the library needs justification, please explain what you 
>know of the book, how it became recommended for you, the problems you hope 
>it will help you solve, etc.
>
>	  Spencer Graves
>
>Prof Brian Ripley wrote:
>
>>?contr.sum
>>
>>And Chapter 6 of MASS would have explained all this to you, so if you have 
>>further questions please consult it.
>>
>>On Tue, 27 Dec 2005, Oana Mocila wrote:
>>
>>
>>>I encountered this problem with parameterization in R:
>>>
>>>I have two factors in a regression. how about if I want to
>>>set constraint so that for each factor, the sum of their
>>>coefficients equals to zero(instead of choosing a reference
>>>category)? for example, I have factor(variable) A(with three
>>>categories) and factor(variable) B(with 4 categories), and I want
>>>to parameterize so that the sum of the three coefficients of
>>>A = 0, and sum of the four coefficients of B = 0? I
>>>mean how to do it in R?
>>
>>
>
>--
>Spencer Graves, PhD
>Senior Development Engineer
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>333 West San Carlos Street Suite 700
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>
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