search for: rumination

Hi, I seem to have a key colour problem with a lattice barchart. The colours on my key rectangle don't match the colours on the barchart. Here is my data frame: "LandFill" "Ruminants" "United States (USA)" 7777.21428 5528.16 "France" 200.527083 1299.87 "Australia" 185.878368 2448.17 "Russian Federation" 1752.8334 2024.29

As a long-time author of computer books, fairly experienced MVC/OO thinker/coder, and recent Rails convert, it is probably not surprising that my midnight ruminations occasionally lead me to wonder if a Rails book might not be an interesting undertaking. But I know there are some great titles out there already and undoubtedly dozens more in the works. I''m interested in writing about the topic but I''d like to cover stuff that others ma...

...(intent log or write cache). The ZIL lets us use synchronous writes (safer) without the normal delay. Were we to try and get the same level of performance with Linux, we'd need to use async mode for our NFS shares -- and we'd lose some reliability. However, given the latest rumblings and ruminations about Oracle potentially no longer selling entitlements for Solaris 10 on non-Sun hardware -- and then turning around and no longer allowing you to run Solaris 10 "freely", we're left with either OpenSolaris or looking at Linux again (we run Solaris 10 on Silicon Mechanics hardware)....

I don't think, this has been answered: > I'm trying to run a 3-way within-subject anova in lme with 3 > fixed factors (Trust, Sex, and Freq), but get stuck with handling > the random effects. As I want to include all the possible random > effects in the model, it would be something more or less > equivalent to using aov > > > fit.aov <- aov(Beta ~ >

Example data in a recent post was: LandFill Ruminants United States (USA) 7777.214280 5528.16 France 200.527083 1299.87 Australia 185.878368 2448.17 Russian Federation 1752.833400 2024.29 Argentina 283.987320 2567.02 Brazil 1048.422480 8839.61 Colombia 265.125000 1307.61 Mexico

I am using lme to handle repeated measurements. So far i can follow the examples from the book from pinheiro and bates. Now i get the problem , that i have "nested" repeated measuremnts, and i cant find out how to do the grouping part of the lme formula. 1.The simple problem ist that i have different Samples , from which i make repeated measurements (each sample is measured 6 times) and

...ingle pass? The only approach I can think of is to iterate through the results of the above query, doing another query for each shortest book I want to get all the details for, which seems a mite inefficient. Thanks, SQL mavens! Sean ----- Sean McMains AIM: SeanMcTex http://www.mcmains.net/ruminations -------------- next part -------------- An HTML attachment was scrubbed... URL: http://wrath.rubyonrails.org/pipermail/rails/attachments/20060109/475c760e/attachment.html

Hi Talin, > I'm looking at the docs, and while it refers to a "catch-all" clause, hopefully Bill will get rid of the first reference to "catch-all" since that section is inaccurate. it doesn't > describe how to construct one. There is in general no such thing as a catch-all: it depends on the personality function (i.e. the language), and, for example, the

I'm looking at the docs, and while it refers to a "catch-all" clause, it doesn't describe how to construct one. In the old scheme, a selector value of 0 was used. What's the corresponding technique for the new scheme? Do I need to update my personality function to handle catch-alls (it wasn't needed in the previous scheme)? -- -- Talin -------------- next part

Dear R users I encounter a problem when i perform a generalized linear mixed model (binary data) with the lmer function (package lme4) with R 2.1.0 on windows XP and the latest version of package "lme4" (0.96-1) and "matrix" (0.96-2) both options "PQL" and "Laplace" for the method argument in lmer function gave me the same results (random and fixed effects

On Sep 25, 2011, at 1:02 AM, Duncan Sands wrote: > Hi Talin, > >> I'm looking at the docs, and while it refers to a "catch-all" clause, > > hopefully Bill will get rid of the first reference to "catch-all" since > that section is inaccurate. > I *think* this is now correct. Please check. :) > it doesn't >> describe how to construct

In short: I didn't take enough stats courses in college. Now I am working on scientific research and I feel somewhat lost when it comes to designing the statistical framework. I have looked through the books at: http://www.r-project.org/doc/bib/R-books.html I even tried to read [17] Julian J. Faraway. Linear Models with R. This book is too advanced. It helped a little bit but I still

Dear all, I do not seem to grasp how contrasts are set for ordered factors. Perhaps someone can elighten me? When I work with ordered factors, I would often like to be able to reduce the used polynomial to a simpler one (where possible). Thus, I would like to explicetly code the polynomial but ideally, the intial model (thus, the full polynomial) would be identical to one with an ordered factor.

...Pretty please? http://seanmctex.homeip.net:3000/book/search?searchTerm=dragon I''m utterly baffled by the strange behavior, and would love to get a handle on what''s going on here. Thanks in advance for any help. Sean ----- Sean McMains AIM: SeanMcTex http://www.mcmains.net/ruminations -------------- next part -------------- An HTML attachment was scrubbed... URL: http://wrath.rubyonrails.org/pipermail/rails/attachments/20060102/3ee610a1/attachment.html

Hi All, I generate a pdf report that contains a table. The report is 14 pages, and it takes 20s to be rendered. Most of these 20s are spend in the render_on method. I wonder if it is possible to speed up that process? To create the report, I do the following: 1) Setup pdf layout: # Setup pdf layout pdf.select_font("Helvetica", { :encoding => "WinAnsiEncoding"})

Does someone out there have an example of R-code for a split-split plot ANOVA using aov or another function? The design is not balanced. I never set up one in R before and it would be nice to see an example before I tackle a very complex design I have to model. Thanks, Mike Mike Saunders Research Assistant Forest Ecosystem Research Program Department of Forest Ecosystem Sciences University of

Hi Bill, >>> I'm looking at the docs, and while it refers to a "catch-all" clause, >> >> hopefully Bill will get rid of the first reference to "catch-all" since >> that section is inaccurate. >> > I *think* this is now correct. Please check. :) I still have some niggles: The unwinder delegates the decision of whether to stop in a

Hello, Does logistic regression really provide better results than lda or qda ? (my purpose is not classification but highlighting of discriminant variables). If this is true, where could I get an R script performing stepwise logistic regression ? Thanks -- Daniel AMORESE Lab. M2C "Morphodynamique Continentale et C?ti?re" UMR CNRS 6143 Caen/Rouen Centre de G?omorphologie UCBN

...like each_with_index makes available to its block? This would allow me to have the client pass back the index and pull the data from the session, thus assuring that the client hasn''t fooled with it. Thanks for any ideas! Sean ----- Sean McMains AIM: SeanMcTex http://www.mcmains.net/ruminations -------------- next part -------------- An HTML attachment was scrubbed... URL: http://wrath.rubyonrails.org/pipermail/rails/attachments/20060102/ef8c3d7e/attachment.html

...except that I''d been under the impression that one could only call render once. If you call it multiple times as the each_with_index loop iterates, are the results just combined automatically? How does that work? Thanks! Sean ----- Sean McMains AIM: SeanMcTex http://www.mcmains.net/ruminations On Jan 1, 2006, at 11:44 PM, rails-request@lists.rubyonrails.org wrote: > Instead of using the :collection parameter to render, render your > partial from inside an each_with_index, and pass in the index as a > parameter to the partial using :locals. > > AC::Base#render: http://a...