lt;[EMAIL PROTECTED]>
> Cc: 'r-help'
> Subject: Re: [R] regression modeling
>
>
> May I offer a perhaps contrary perspective on this.
>
> Statistical **theory** tells us that the precision of estimates
> improves as
> sample size increases. However, in prac
Berton Gunter wrote:
> May I offer a perhaps contrary perspective on this.
>
> Statistical **theory** tells us that the precision of estimates improves as
> sample size increases. However, in practice, this is not always the case.
> The reason is that it can take time to collect that extra data, a
process." - George E. P. Box
> -Original Message-
> From: [EMAIL PROTECTED]
> [mailto:[EMAIL PROTECTED] On Behalf Of Weiwei Shi
> Sent: Tuesday, April 25, 2006 12:10 PM
> To: bogdan romocea
> Cc: r-help
> Subject: Re: [R] regression modeling
>
> i bel
ry/predictive potential of a dataset vary as the dataset gets
> larger and larger?
>
>
> > -Original Message-
> > From: [EMAIL PROTECTED]
> > [mailto:[EMAIL PROTECTED] On Behalf Of Weiwei Shi
> > Sent: Monday, April 24, 2006 12:45 PM
> > To: r-help
>
> [mailto:[EMAIL PROTECTED] On Behalf Of Weiwei Shi
> Sent: Monday, April 24, 2006 12:45 PM
> To: r-help
> Subject: [R] regression modeling
>
> Hi, there:
> I am looking for a regression modeling (like regression
> trees) approach for
> a large-scale industry dataset. Any sugge
Hi, there:
I am looking for a regression modeling (like regression trees) approach for
a large-scale industry dataset. Any suggestion on a package from R or from
other sources which has a decent accuracy and scalability? Any
recommendation from experience is highly appreciated.
Thanks,
Weiwei
--
Dr. Frank E. Harrell, Jr., Professor and Chair of the Department of
Biostatistics at Vanderbilt University is giving a one-day workshop on
Regression Modeling Strategies on Friday, April 29, 2005. Analyses of the
example datasets use R/S-Plus and make extensive use of the Hmisc library
written
I will be giving a one-day short course related to my book Regression Modeling
Strategies in Toronto as part of the Joint Statistical Meetings on August 8.
For more information visit the American Statistical Association web site
amstat.org and biostat.mc.vanderbilt.edu/rms. The course applies
nd 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
helpful
Please advise
-Dev
From: Berton Gunter <[EMAIL PROTECTED]>
To: devshruti pahuja <[EMAIL PROTECTED]>
Subject: Re: [R] Regression Modeling query
Date: Tue, 22 Jun 2004 13:44:13 -0700
MIME-Version: 1.0
X-Sender: "Berton Gunter" <[EMAIL PROTECTED]>
Received: from c
ason where as in men's tennis it's fluctuating. Also, i
would like to which age group reflects the prime of a tennis player and
hence i've changed continuous variables to categorical.
Please advise
Thanks
-Dev
From: "Peter Flom" <[EMAIL PROTECTED]>
To: <[EMAIL P
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
12 matches
Mail list logo
