[R] Regression Modeling query
devshruti pahuja
devshruti at hotmail.com
Tue Jun 22 22:52:53 CEST 2004
Please ..... this is not a homework problem and i don't want spoon feeding
but just the right way to approach the problem or the reference from regular
texts. I'm doing this for my own learning and understanding of regression
modeling.
I'm familiar with most of the techniques of regression modeling but had a
problem with my last project which had 17 predictors and i was able to
unravel very few interactions despite using most of the techniques that were
there in some standard textbooks. I want an insight from those who have
modelled fuzzy data --> logical tables and then tried to get some behavioral
insights.
I don't mind coding my own R functions and possess a sound familiarity with
Numerical Linear Algebra and Matrix theory. Secondly, i don't want to dig
deep into books to find little useful. Any references that you provide will
be pretty helpful
Please advise
-Dev
>From: Berton Gunter <gunter.berton at gene.com>
>To: devshruti pahuja <devshruti at hotmail.com>
>Subject: Re: [R] Regression Modeling query
>Date: Tue, 22 Jun 2004 13:44:13 -0700
>MIME-Version: 1.0
>X-Sender: "Berton Gunter" <bgunter at smtp.gene.com>
>Received: from compton.gene.com ([192.12.78.250]) by mc8-f14.hotmail.com
>with Microsoft SMTPSVC(5.0.2195.6824); Tue, 22 Jun 2004 13:45:15 -0700
>Received: from gene.com (dhcp164-33.gene.com [128.137.164.33])by
>compton.gene.com (Switch-3.1.4/Switch-3.1.0) with ESMTP id
>i5MKiDr3021487for <devshruti at hotmail.com>; Tue, 22 Jun 2004 13:44:13 -0700
>(PDT)
>X-Message-Info: JGTYoYF78jHuGzi9i5wyM1lYLSA9WFC7
>Message-ID: <40D89A1D.EEB8EC99 at gene.com>
>Organization: Genentech, Inc.
>X-Mailer: Mozilla 4.78 [en]C-CCK-MCD (Windows NT 5.0; U)
>X-Accept-Language: en
>References: <BAY9-F42Xng77T4kfjD0003cf53 at hotmail.com>
>Return-Path: bgunter at gene.com
>X-OriginalArrivalTime: 22 Jun 2004 20:45:15.0723 (UTC)
>FILETIME=[D27351B0:01C45899]
>
>devshruti pahuja wrote:
>
> > Hi All
> >
> > I received a raw data set with one record per tennis player (both male
>and
> > female) and then i cured it by aggregation i.e by 4 age groups, 2 gender
> > levels and 6 income levels. Gender and Income are categorical variables.
> > Please advise me how to use 'R' to model this data set (Actually, i want
>to
> > know the right regression technique and steps to do that, including
>removing
> > outliers at the begining and looking for hidden interactions).
> >
>
>--- in which case, shouldn't we also sign and hand in the homework for you?
>
>-- Bert
>
More information about the R-help
mailing list