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1. Summary : NELDER-MEAD SIMPLEX ALGORITHM (score: 1)
Author: "Dr. A. Christmann" <a.christmann@hrz.uni-dortmund.de>
Date: Wed, 05 Mar 1997 16:05:31 -0800
I like to thank all persons who responded on my question. -- "Has anyone implemented the Nelder-Mead Simplex minimization procedure in S-Plus ? (This minimization procedure is published as FORTRAN c
/archives/html/s-news/2003-02/msg00118.html (18,252 bytes)

2. Re: Fisher exact test (score: 1)
Author: Andreas Christmann <A.Christmann@hrz.uni-dortmund.de>
Date: Wed, 24 Jul 2002 08:43:54 +0200
The software StatXact developed by Cytel easily computes Fisher's exact test in this situation ( less than 1 second). I often use StatXact for exact nonparametric statistics. It is fast and covers a
/archives/html/s-news/2002-07/msg00167.html (9,236 bytes)

3. Software for Efron, B. (1986) ? (score: 1)
Author: Andreas Christmann <A.Christmann@hrz.uni-dortmund.de>
Date: Fri, 14 Jun 2002 15:24:31 +0200
I like to ask whether someone has S-PLUS ( or R ) code for the method proposed in Efron B. (1986). Double exponential families and their use in generalized linear regression. JASA 83:709-721. Andrea
/archives/html/s-news/2002-06/msg00123.html (7,285 bytes)

4. SUMMARY: Efron, B. (1986, JASA). Double exponential families (score: 1)
Author: Andreas Christmann <A.Christmann@hrz.uni-dortmund.de>
Date: Fri, 21 Jun 2002 09:34:10 +0200
Some days ago I asked whether someone has S-PLUS (or R) code for the method proposed by Efron B. (1986). Double exponential families and their use in generalized linear regression. JASA 83:709-721. I
/archives/html/s-news/2002-06/msg00185.html (9,220 bytes)

5. msg00191.html (score: 1)
Author: A.Christmann@hrz.uni-dortmund.de
Date: Tue, 28 May 2002 04:27:03 -0500 (CDT)
Perhaps the standalone software DSTPLAN may be interesting to you. M.D. Anderson Cancer Center Department of Biomathematics Archive (Succinct List by Function) http://odin.mdacc.tmc.edu/anonftp/page_
/archives/html/s-news/2002-05/msg00191.html (7,310 bytes)

6. Re: references of Robust libraries in Splus 6 (score: 1)
Author: Andreas Christmann <A.Christmann@hrz.uni-dortmund.de>
Date: Fri, 08 Feb 2002 12:43:54 +0100
perhaps the following may help. Andreas 1). Gervini, D. and Yohai, V. J. (1999). A class of robust and fully efficient regression estimates, mimeo, Universidad de Buenos Aires. http://www.stat.uiuc.
/archives/html/s-news/2002-02/msg00081.html (9,061 bytes)

7. Re: problems with dyn.load (score: 1)
Author: Andreas Christmann <A.Christmann@hrz.uni-dortmund.de>
Date: Tue, 04 Dec 2001 14:47:19 +0100
Did you define N ? What is the sequence of arguments for your fortran routine? Should N be the first argument because it describes the dimension of arrays? Andreas == Dr. Andreas Christmann Universi
/archives/html/s-news/2001-12/msg00023.html (7,442 bytes)

8. Re: Modifying lowess to yield quantiles (score: 1)
Author: Andreas Christmann <A.Christmann@hrz.uni-dortmund.de>
Date: Wed, 05 Dec 2001 16:54:59 +0100
Does quantile regression the job? http://www.econ.uiuc.edu/~roger/research/rq/rq.html http://lib.stat.cmu.edu/S/ http://lib.stat.cmu.edu/S/quantreg quantreg Routines to compute quantile regressions i
/archives/html/s-news/2001-12/msg00043.html (8,783 bytes)

9. Re: Shading regions of figures (score: 1)
Author: Andreas Christmann <A.Christmann@hrz.uni-dortmund.de>
Date: Tue, 11 Dec 2001 08:38:35 +0100
Perhaps the function polygon may be interesting to you. After defining the x- and the y-coordinates you can shade that region using the polygon function. Andreas == Dr. Andreas Christmann Universitae
/archives/html/s-news/2001-12/msg00098.html (7,330 bytes)

10. Re: Robust linear model with t distribution (score: 1)
Author: Andreas Christmann <A.Christmann@hrz.uni-dortmund.de>
Date: Mon, 09 Jul 2001 08:41:48 +0200
perhaps the following article may be interesting: \item[] {\rm Lange, K.L., Little, R.J.A. and Taylor, J.M.G.} (1989). Robust statistical modelling using the t distribution. {\em J. Amer. Statist. A
/archives/html/s-news/2001-07/msg00047.html (9,134 bytes)

11. Re: calculation of percentiles. (score: 1)
Author: Andreas Christmann <A.Christmann@hrz.uni-dortmund.de>
Date: Fri, 20 Jul 2001 13:23:05 +0200
Perhaps the following articles concerning quantile estimation may be interesting to you. The first one treats dependent random variables. The second paper is dealing with independent but not identica
/archives/html/s-news/2001-07/msg00151.html (7,674 bytes)

12. Re: Retrieving probit or logit standard errors (score: 1)
Author: Andreas Christmann <A.Christmann@hrz.uni-dortmund.de>
Date: Thu, 21 Jun 2001 15:41:57 +0200
Perhaps the following code helps, but it is not elegant. Assume that y is the response vector (0/1) and x is the matrix of explanatory variables. out <- glm(cbind(y,1-y) ~ x , family=binomial) out2 <
/archives/html/s-news/2001-06/msg00195.html (7,761 bytes)

13. Re: help with function "lmsreg" (score: 1)
Author: Andreas Christmann <A.Christmann@hrz.uni-dortmund.de>
Date: Thu, 03 May 2001 13:27:55 +0200
Perhaps you should check the software developed by Prof. Peter Rousseeuw from Antwerpen, too. http://win-www.uia.ac.be/u/statis/hpwisinf_local/programs.html http://win-www.uia.ac.be/u/statis/programs
/archives/html/s-news/2001-05/msg00029.html (10,092 bytes)

14. msg00000.html (score: 1)
Author: A.Christmann@HRZ.Uni-Dortmund.DE
Date: Thu, 1 Feb 2001 01:47:10 -0600 (CST)
/archives/html/s-news/2001-02/msg00000.html (5,280 bytes)

15. RE: Ordinal regression (score: 1)
Author: "Christmann, Andreas" <A.Christmann@HRZ.Uni-Dortmund.DE>
Date: Thu, 01 Feb 2001 08:51:59 +0100
From my point of view the following Wiley books are very interesting for ordinal regression and similar topics: Agresti, Alan. (1984) Analysis of ordinal categorical data. Agresti, Alan. (1990). Cate
/archives/html/s-news/2001-02/msg00001.html (7,174 bytes)

16. Re: S-PLUS: Problems Using Fuzzy Clustering (FANNY) (score: 1)
Author: "Christmann, Andreas" <A.Christmann@HRZ.Uni-Dortmund.DE>
Date: Thu, 08 Feb 2001 14:39:54 +0100
In S-Plus 4.5 for Windows one can use: fanny(x = your data, k = 4, diss = F, metric = "euclidean", stand = F, save.x = T, save.diss = T) If you use the GUI please specify in the model window: options
/archives/html/s-news/2001-02/msg00082.html (9,415 bytes)

17. Re: multimodal fit (score: 1)
Author: "Christmann, Andreas" <A.Christmann@HRZ.Uni-Dortmund.DE>
Date: Thu, 15 Feb 2001 08:44:51 +0100
Do you think that the assumption of a mixture of normal distributions may be appropriate for your data? If yes, this kind of analysis can (in principle) be done in S-Plus (see e.g. Venables and Riple
/archives/html/s-news/2001-02/msg00136.html (8,838 bytes)

18. Re: comparison of correlation coefficients (score: 1)
Author: "Christmann, Andreas" <A.Christmann@HRZ.Uni-Dortmund.DE>
Date: Fri, 05 Jan 2001 10:02:51 +0100
Dear Mr. Horwath, perhaps the following S-Plus code may be helpful to you. The first one computes Spearman's rank correlation coefficient and an asymptotic (1-alpha) confidence interval. The second o
/archives/html/s-news/2001-01/msg00021.html (11,094 bytes)

19. Re: Ed50 (score: 1)
Author: "Christmann, Andreas" <A.Christmann@HRZ.Uni-Dortmund.DE>
Date: Thu, 18 Jan 2001 08:15:34 +0100
Dear Nathan, in the book W.N. Venables, B.D. Ripley (1994) Modern Applied Statistics with S-Plus Springer there is a function dose.p (page 192) to compute ED50 . This function is implemented in the c
/archives/html/s-news/2001-01/msg00126.html (7,864 bytes)

20. Re: Poster of S-PLUS graphs (score: 1)
Author: "Christmann, Andreas" <A.Christmann@HRZ.Uni-Dortmund.DE>
Date: Tue, 30 Jan 2001 08:56:47 +0100
some time ago I copied S-Plus graphics (under Windows NT) to MS Powerpoint via copy/paste and printed the poster from Powerpoint into a Postscript file (DIN A0). This Postscript file was send via ft
/archives/html/s-news/2001-01/msg00207.html (9,267 bytes)

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