- 1. Re: nlme & residuals (score: 1)
- Author: "Roberts, J. Kyle" <jkrobert@bcm.tmc.edu>
- Date: Wed, 5 Apr 2006 14:20:34 -0500
- If "nlme.out" is the output from the run, then just use: resid(nlme.out) Kyle From: s-news-owner@lists.biostat.wustl.edu on behalf of Budhathoki, Chakra Sent: Wed 4/5/2006 1:50 PM To: s-news@wubios.w
- /archives/html/s-news/2006-04/msg00011.html (8,007 bytes)
- 2. random samples (score: 1)
- Author: "Roberts, J. Kyle" <jkrobert@bcm.tmc.edu>
- Date: Fri, 21 Apr 2006 15:49:30 -0500
- ast
- /archives/html/s-news/2006-04/msg00096.html (7,406 bytes)
- 3. Re: random samples (score: 1)
- Author: "Roberts, J. Kyle" <jkrobert@bcm.tmc.edu>
- Date: Sat, 22 Apr 2006 15:36:51 -0500
- ant
- /archives/html/s-news/2006-04/msg00103.html (13,657 bytes)
- 4. Re: Mixed effects models and R2 (score: 1)
- Author: "Roberts, J. Kyle" <jkrobert@bcm.tmc.edu>
- Date: Sat, 18 Feb 2006 17:10:34 -0600
- Don't report any R^2 statistic for any mixed effects model. Snijders & Bosker and Hox give lengthy discussions on why not to. I am presenting a paper at AERA this year on possible R^2 measures for 2
- /archives/html/s-news/2006-02/msg00066.html (10,776 bytes)
- 5. Probability estimates in lme (score: 1)
- Author: "Roberts, J. Kyle" <jkrobert@bcm.tmc.edu>
- Date: Tue, 10 Jan 2006 15:41:59 -0600
- I want to extract the Gaussian probability estimates from lme for use in a statistic that I am developing. Any ideas how to get this? What I am looking for is the p(Yij) for a 2-level model given th
- /archives/html/s-news/2006-01/msg00034.html (11,917 bytes)
- 6. Coding Question (score: 1)
- Author: "Roberts, J. Kyle" <jkrobert@bcm.tmc.edu>
- Date: Tue, 24 Jan 2006 15:24:16 -0600
- I have a dataset in which I need to dummy code (sort of) two separate variables. Variable 1 I have 5 years of data on students in teachers classrooms. Each teacher entered the intervention at differe
- /archives/html/s-news/2006-01/msg00075.html (15,690 bytes)
- 7. From: "Roberts, J. Kyle" <jkrobert@bcm.tmc.edu> (score: 1)
- Author: "Roberts, J. Kyle" <jkrobert@bcm.tmc.edu>
- Date: Wed, 16 Nov 2005 15:41:46 -0600
- Quick question, why is the Deviance statistic (-2*LL) so drastically different in a binomial outcome model when using Laplace estimation versus PQL or MQL? I am using the correlatedData library with
- /archives/html/s-news/2005-11/msg00042.html (7,972 bytes)
- 8. Trellis colors (score: 1)
- Author: "Roberts, J. Kyle" <jkrobert@bcm.tmc.edu>
- Date: Mon, 31 Oct 2005 10:59:01 -0600
- I use the following commands to change the plot and line colors of a Trellis graph to black for use in publications. color of the lines line<-trellis.par.get("plot.line") line$col<-1 trellis.par.set
- /archives/html/s-news/2005-10/msg00096.html (9,682 bytes)
- 9. NLME and grouping functions (score: 1)
- Author: "Roberts, J. Kyle" <jkrobert@bcm.tmc.edu>
- Date: Fri, 16 Jun 2006 11:11:34 -0500
- Dear All, I want to correlated the predicted values from a "lme" run, and the original outcome values from the original dataset. The caveat is that I want to do it honoring the grouping structure. So
- /archives/html/s-news/2006-06/msg00030.html (9,340 bytes)
- 10. lme coefficients question (score: 1)
- Author: "Roberts, J. Kyle" <jkrobert@bcm.tmc.edu>
- Date: Fri, 21 Jul 2006 11:01:01 -0500
- I have a question about lme. When I run: coef(lme.out) I get different results from when I run: lme.out$coef I know from my data that the coef(lme.out) contains the right values. Can anyone tell me
- /archives/html/s-news/2006-07/msg00054.html (8,578 bytes)
- 11. Re: lme coefficients question (score: 1)
- Author: "Roberts, J. Kyle" <jkrobert@bcm.tmc.edu>
- Date: Fri, 21 Jul 2006 12:37:28 -0500
- Thanks, Doug. For some strange reason, I had initially read the documentation wrong and couldn't make sense of what I had. When I checked the documentation again, I saw that coef.lme are "obtained by
- /archives/html/s-news/2006-07/msg00059.html (12,386 bytes)
- 12. STATA "collapse" function (score: 1)
- Author: "Roberts, J. Kyle" <jkrobert@bcm.tmc.edu>
- Date: Wed, 25 Oct 2006 10:46:56 -0500
- Dear All, I am looking for a function in S-PLUS that works like "collapse" in STATA. Specifically, I am trying to create some level-2 and level-3 datasets for use in HLM from a single dataset that I
- /archives/html/s-news/2006-10/msg00045.html (7,623 bytes)
- 13. p-values for variance components in lme (score: 1)
- Author: "Roberts, J. Kyle" <jkrobert@bcm.tmc.edu>
- Date: Fri, 17 Nov 2006 15:26:07 -0600
- Does anyone know how to test for the statistical significance of variance components in lme (actually produce the p-values)? I have an editor asking for them. Thanks, Kyle ** J. Kyle Roberts, Ph.D. B
- /archives/html/s-news/2006-11/msg00017.html (7,486 bytes)
- 14. Help with function (score: 1)
- Author: "Roberts, J. Kyle" <jkrobert@bcm.tmc.edu>
- Date: Tue, 9 Jan 2007 09:23:57 -0600
- I need to know how to create different pieces of a function that I have created. For example, in aov, one could type aov$contrasts to obtain the contrasts. I want to use this for another application
- /archives/html/s-news/2007-01/msg00007.html (10,617 bytes)
- 15. Merging HLM datasets (score: 1)
- Author: "Roberts, J. Kyle" <jkrobert@bcm.tmc.edu>
- Date: Tue, 13 Feb 2007 11:00:50 -0600
- I have two datasets from HLM that I need to merge into a single dataset for use in S-PLUS/R. Specifically, I need to take some teacher-level data (content knowledge) and apply it to every case for t
- /archives/html/s-news/2007-02/msg00029.html (8,506 bytes)
- 16. bwplots (score: 1)
- Author: "Roberts, J. Kyle" <jkrobert@bcm.tmc.edu>
- Date: Mon, 26 Feb 2007 13:28:08 -0600
- Is it possible to have a polynomial curve fit to a box and whisker plot? Also, what is the command name for the GUI interface that reads as "LinearCFPlot" in the "History"? In the pulldown, this is t
- /archives/html/s-news/2007-02/msg00054.html (7,259 bytes)
- 17. Re: Help with command of returning the random effect covariance estimate using 'lme' fitting (score: 1)
- Author: "Roberts, J. Kyle" <jkrobert@bcm.tmc.edu>
- Date: Thu, 1 Mar 2007 10:18:02 -0600
- It doesn't quite give everything you need in the same format, but if you use VarCorr(dental.fit) you will get the variance estimates as well as the correlations. Just multiply these correlations by
- /archives/html/s-news/2007-03/msg00001.html (14,142 bytes)
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