Re: [R] Help understanding lrm function of Design library
On Tue, Aug 18, 2009 at 8:13 AM, Frank E Harrell Jrf.harr...@vanderbilt.edu wrote: Noah Silverman 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 My book Regression Modeling Strategies covers much of that. Its case study on penalized ordinal logistic regression is also largely in a paper in Statistics in Medicine if you have access to that. Once you do some background reading I'll be glad to answer some focused questions. Frank -- Frank E Harrell Jr Professor and Chair School of Medicine Department of Biostatistics Vanderbilt University Noah, I have found the Regression Modeling Strategies book to be incredibly valuable. I also took a Regression course with Frank Harrell this past February (http://biostat.mc.vanderbilt.edu/wiki/Main/RmS#2009_Upcoming_short_courses_in_R). I can not say enough about this course. I am an ecologist but had no problem with the mostly medical examples. Dr. Harrell is a great teacher! There was so much great information presented that I hope to repeat the course if at all possible! Good luck, Michael -- Michael Denslow Graduate Student I.W. Carpenter Jr. Herbarium [BOON] Department of Biology Appalachian State University Boone, North Carolina U.S.A. -- AND -- Communications Manager Southeast Regional Network of Expertise and Collections sernec.org __ R-help@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.
[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@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.
[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@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.
Re: [R] Help understanding lrm function of Design library
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=UTF8qid=1250596657sr=8-2
Patrick
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@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
__
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and provide commented, minimal, self-contained, reproducible code.
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and provide commented, minimal, self-contained, reproducible code.
Re: [R] Help understanding lrm function of Design library
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@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. __ R-help@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.
Re: [R] Help understanding lrm function of Design library
Noah Silverman 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 My book Regression Modeling Strategies covers much of that. Its case study on penalized ordinal logistic regression is also largely in a paper in Statistics in Medicine if you have access to that. Once you do some background reading I'll be glad to answer some focused questions. Frank -- Frank E Harrell Jr Professor and Chair School of Medicine Department of Biostatistics Vanderbilt University __ R-help@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.
