R help - Aug 2009 - Help understanding lrm function of Design library

Hi,

I'm developing an experiment with logistic regression.

I've come across the lrm function in the Design  library.

While I understand and can use the basic functionality, there are a ton 
of options that go beyond my knowledge.

I've carefully read the help page for lrm, but don't understand many of 
the arguments and optional return values.
(penalty, penalty.matrix, strata.penalty, var.penalty, weights)

Additionally, there are several items returned in the model that I don't 
understand.
(Max Derriv, Model L.R, C, Dxy, Gamma, Tau-a, R2, Briar, Wald Z)

1) Could someone point me to an online resource where I could learn 
more?  (I'm big on trying to teach myself.)

2) Or, alternately, does anybody want to explain a few things for me?

Thanks!

--
Noah

Hi,

I'm developing an experiment with logistic regression.

I've come across the lrm function in the Design  library.

While I understand and can use the basic functionality, there are a ton 
of options that go beyond my knowledge.

I've carefully read the help page for lrm, but don't understand many of 
the arguments and optional return values.
(penalty, penalty.matrix, strata.penalty, var.penalty, weights)

Additionally, there are several items returned in the model that I don't 
understand.
(Max Derriv, Model L.R, C, Dxy, Gamma, Tau-a, R2, Briar, Wald Z)

1) Could someone point me to an online resource where I could learn 
more?  (I'm big on trying to teach myself.)

2) Or, alternately, does anybody want to explain a few things for me?

Thanks!

--
Noah

I found Professor Harrell's book answered most of my questions as it
contains discussion of both Hmisc and Design libraries
.
http://www.amazon.com/Regression-Modeling-Strategies-Frank-Harrell/dp/0387952322/ref=sr_1_2?ie=UTF8&qid=1250596657&sr=8-2

Patrick

-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
On Behalf Of Noah Silverman
Sent: Monday, August 17, 2009 5:21 PM
To: r help
Subject: [R] Help understanding lrm function of Design library

Hi,

I'm developing an experiment with logistic regression.

I've come across the lrm function in the Design  library.

While I understand and can use the basic functionality, there are a ton 
of options that go beyond my knowledge.

I've carefully read the help page for lrm, but don't understand many of 
the arguments and optional return values.
(penalty, penalty.matrix, strata.penalty, var.penalty, weights)

Additionally, there are several items returned in the model that I don't 
understand.
(Max Derriv, Model L.R, C, Dxy, Gamma, Tau-a, R2, Briar, Wald Z)

1) Could someone point me to an online resource where I could learn 
more?  (I'm big on trying to teach myself.)

2) Or, alternately, does anybody want to explain a few things for me?

Thanks!

--
Noah

______________________________________________
R-help at r-project.org 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.
This email message, including any attachments, is for th...{{dropped:6}}

Hi Noah,
>> Could someone point me to an online resource where I could learn 
>> more?  (I'm big on trying to teach myself.) [about lrm funcction
and the
>> Design library]
Go for the hardcopy, but you could look at Google Books if you are pressed.
There you will find a good preview of the text. Also look at Alzolla and
Harrell's excellent "An Introduction to S and the Hmisc and Design
Libraries" PDF, which you will find on CRAN under "Contributed
Documentation."

Regards, Mark.


Noah Silverman-3 wrote:
> 
> Hi,
> 
> I'm developing an experiment with logistic regression.
> 
> I've come across the lrm function in the Design  library.
> 
> While I understand and can use the basic functionality, there are a ton 
> of options that go beyond my knowledge.
> 
> I've carefully read the help page for lrm, but don't understand
many of
> the arguments and optional return values.
> (penalty, penalty.matrix, strata.penalty, var.penalty, weights)
> 
> Additionally, there are several items returned in the model that I
don't
> understand.
> (Max Derriv, Model L.R, C, Dxy, Gamma, Tau-a, R2, Briar, Wald Z)
> 
> 1) Could someone point me to an online resource where I could learn 
> more?  (I'm big on trying to teach myself.)
> 
> 2) Or, alternately, does anybody want to explain a few things for me?
> 
> Thanks!
> 
> --
> Noah
> 
> ______________________________________________
> R-help at r-project.org 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.
> 
> 
-- 
View this message in context:
http://www.nabble.com/Help-understanding-lrm-function-of-Design-library-tp25022388p25023794.html
Sent from the R help mailing list archive at Nabble.com.