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Total 19 documents matching your query.

1. logistic regression (score: 1): Author: "Schneck, Ryan" <ryan_schneck@standardandpoors.com>; Date: Fri, 12 Mar 2004 09:50:20 -0500; I am new to S-Plus and I am using it for Logistic Regression. The summary, as you know, reports t-values, but no associated p-values. I have seen two different suggestions for this problem. One sugge; /archives/html/s-news/2004-03/msg00125.html (9,105 bytes)
2. Re: logistic regression (score: 1): Author: Frank E Harrell Jr <feh3k@spamcop.net>; Date: Sat, 13 Mar 2004 13:46:40 -0500; This is not really an S-Plus question but is much more a question about statistical methodology. It would be beneficial to study one or more of the several books that cover logistic regression, then; /archives/html/s-news/2004-03/msg00126.html (8,878 bytes)
3. Re: logistic regression (score: 1): Author: Marc Schwartz <MSchwartz@MedAnalytics.com>; Date: Sat, 13 Mar 2004 13:57:12 -0600; Regression Modeling Strategies Springer Verlag, 2001 http://www.amazon.com/exec/obidos/tg/detail/-/0387952322 Frank's book is especially apropos here (and for R) as S is used throughout the book to d; /archives/html/s-news/2004-03/msg00127.html (9,716 bytes)
4. Logistic Regression (score: 1): Author: "Schneck, Ryan" <ryan_schneck@standardandpoors.com>; Date: Tue, 16 Mar 2004 12:37:32 -0500; Hello everyone, I need help. I have never used logistic regression before, AND I am new to S-plus. So, needless to say, I am a little bit lost. I am modeling DEFAULT as a binary response to RATING (a; /archives/html/s-news/2004-03/msg00137.html (10,356 bytes)
5. Re: logistic regression (score: 1): Author: "Pattison, David H." <David.H.Pattison@ssa.gov>; Date: Fri, 1 Aug 2003 08:36:03 -0400; Venables in his reply below mentioned Bliss/Fisher (1936). For those who are interested, there is a chapter by J.S. Cramer on the early history of logistic regression, posted at http://publishing.cam; /archives/html/s-news/2003-08/msg00006.html (11,068 bytes)
6. Re: logistic regression (score: 1): Author: Spencer Graves <spencer.graves@PDF.COM>; Date: Fri, 01 Aug 2003 07:00:33 -0700; To test ideas, it is still quite reasonable to transform the numbers logits <- log(y/(1-y)) where 0 < y < 1. One can make normal probability plots of "logits", plot them vs. potentially explanatory v; /archives/html/s-news/2003-08/msg00007.html (13,594 bytes)
7. Re: logistic regression (score: 1): Author: Spencer Graves <spencer.graves@PDF.COM>; Date: Fri, 01 Aug 2003 07:17:27 -0700; p.s. If all the y's are either 0 or 1 and I find a significant relationship with x using, "glm", I will still want to produce a picture to help explain the relationship to others. For that one can us; /archives/html/s-news/2003-08/msg00008.html (14,641 bytes)
8. Re: logistic regression (score: 1): Author: Andrew Robinson <andrewr@uidaho.edu>; Date: Fri, 1 Aug 2003 08:09:09 -0700; loess works nicely, too. As far as I see, you've just described a simplified kernel-based smoother. I would bet that S-plus can do those. Andrew -- Andrew Robinson Ph: 208 885 7115 Department of Fore; /archives/html/s-news/2003-08/msg00009.html (18,169 bytes)
9. logistic regression (score: 1): Author: AHC van Kampen <a.h.vankampen@amc.uva.nl>; Date: Thu, 31 Jul 2003 17:45:01 +0200; a; /archives/html/s-news/2003-07/msg00216.html (8,303 bytes)
10. Re: logistic regression (score: 1): Author: Frank E Harrell Jr <fharrell@virginia.edu>; Date: Thu, 31 Jul 2003 13:20:08 -0400; e; /archives/html/s-news/2003-07/msg00217.html (9,754 bytes)
11. Re: logistic regression (score: 1): Author: "Umberto" <anglagard77@libero.it>; Date: Thu, 31 Jul 2003 19:37:50 +0200; f; /archives/html/s-news/2003-07/msg00218.html (7,668 bytes)
12. Re: logistic regression (score: 1): Author: Bill.Venables@csiro.au; Date: Fri, 1 Aug 2003 12:16:05 +1000; i; /archives/html/s-news/2003-07/msg00220.html (9,711 bytes)
13. logistic regression (score: 1): Author: dra@quantros.com>; Date: Wed, 22 Aug 2001 23:19:14 +0200; Dear All, I have a few beginners question: i) Where can I find the constant "e". I could figure out that pi is coded in S-Plus, but is e too? Must be I guess, but I just couldn't find it. ii) Assume; /archives/html/s-news/2001-08/msg00166.html (6,825 bytes)
14. Re: logistic regression (score: 1): Author: i@swissonline.ch>; Date: Thu, 23 Aug 2001 09:27:08 +1000; The constant "e" is exp(1). I can only imagine the reason why it is not provided as a separate constant like pi is that all you ever want to do with e is use it as the base of some power expression,; /archives/html/s-news/2001-08/msg00167.html (9,186 bytes)
15. logistic regression (score: 1): Author: u01753 <FT.Maestre@ua.es>; Date: Fri, 04 May 2001 17:34:27 +0200; Dear list, I am using s-plus 2000 and I have a question regarding logistic regression. My response variable is binary, and my explanatory variables represent a mixture of quantitative and qualitative; /archives/html/s-news/2001-05/msg00042.html (6,489 bytes)
16. logistic regression (score: 1): Author: "Winifred Lambert" <winnie@ccb.ensco.com>; Date: Tue, 14 Nov 2000 17:24:32 -0500; S-PLUS 2000 Windows 2000 I am using glm() to create a logistic regression equation with a binary (0,1)predictand and 4 binary (0,1) predictors using over 2600 records. I set family=binomial in the ca; /archives/html/s-news/2000-11/msg00146.html (8,452 bytes)
17. Re: logistic regression (score: 1): Author: Prof Brian Ripley <ripley@stats.ox.ac.uk>; Date: Tue, 14 Nov 2000 22:54:21 +0000 (GMT); You predicted the link, not the response? The default is to predict logit(p) not p. As ever, it helps to show what you actually did. Depends what you think y is The first (e^eta/(1+e^eta)) is standar; /archives/html/s-news/2000-11/msg00147.html (9,538 bytes)
18. RE: logistic regression (score: 1): Author: "Eric Zivot" <ezivot@u.washington.edu>; Date: Tue, 14 Nov 2000 15:09:42 -0800; For background on logistic regression with examples in S, look at http://www.stat.washington.edu/quinn/classes/536/536.html; /archives/html/s-news/2000-11/msg00148.html (7,050 bytes)
19. Logistic regression (score: 1): Author: asanquer@virbac.fr; Date: Wed, 13 Sep 2006 12:46:54 +0200; I need some help with the logistic regression: I have data on the test of 8 devices. The result of the test is a factor with 3 classes (bad, correct, good). I would like to use a logistic regression; /archives/html/s-news/2006-09/msg00031.html (8,778 bytes)

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