similar to: Fitting a mixed negative binomial model

Hi, I have to analyse the number of provisioning trips to nestlings according to a number of biological and environmental factors. I was thinking of building a mixed-effects model with species and nestid as random effects, using a Poisson distribution, but the data are overdispersed (variance/mean = 5). I then thought of using a mixed-effects model with negative binomial distribution, but I have

I usually use the cross-correlation between the speaker signal and the mic signal. It works pretty well. The problem is the you need enough data in order to get a good S/N. I compute the cross-correlation between 1.5 second data of each signals. In this way the application detection of any anomalies is quite slow. I am looking for something faster, but I fear it will be something very application

Greetings R Users! I have a data set of count responses for which I have made repeated observations on the experimental units (stream reaches) over two air photo dates, hence the mixed effect. I have been using Dr. Jim Lindsey's GLMM function found in his "repeated" measures package with the "poisson" family. My problem though is that I don't think the poisson

1) Everytime a participant speaks there is a echo for a short duration (maybe a word or two) but as the participant continues to speak without a any break the echo is 95% cancelled (i.e there is a feeble echo still present if observed very carefully). 2) The moment the participant stops / pauses speaking and start talking again, scenario 1 is repeated as if the echo state has been re-initialized

2010/5/11 Elston Sa <jose at rebaca.com>: > Is there an API in speex or have you implemented your own? I don't know if there is an API in speex for this, probably not. There is a test for AEC which does something very similar. I implemented it starting from a FFT library. It is quite easy to do. > > I am currently trying to find one. But if you could point me to one it will

Yes. I guessed that too, however I am not sure why it keeps repeating every time the user stops / pauses and starts speaking again in a single session. I am using a laptop with standalone speakers. For echo cancellation to work one has to make sure that the ref and echo buffers are synchronized. I guess this is the most common problem. -Elston -----Original Message----- From: Anton A.

Hi R experts, I am interested on the effects of two dietry compunds on the growth of chicks. Rather than extracting linear growth functions for each chick and using these in an analysis I thought using ReML might provide a neater and better way of doing this. (I have read the pdf vignette("MlmSoftRev") and "Fitting linear mixed models in R" by Douglas Bates but I am not

Dear R-users, I did some more research and I'm still not sure how to set up an ANCOVA with nestedness. Specifically I'm not sure how to express chicks nested within boxes. I will be getting Pinheiro & Bates (Mixed Effects Models in S and S-Plus) but it will not arrive for another two weeks from our interlibrary loan. The goal is to determine if there are urbanization (purban)

I just had a manuscript returned with the biggest problem being the analysis. Instead of using principal components in a regression I've been asked to analyze a few variables separately. So that's what I'm doing. I pulled a feather from young birds and we quantified certain aspects of the color of those feathers. Since I often have more than one sample from a nest, I thought I

Hi, In the examples from the ReShape package there is a simple example of using melt followed by cast that produces a smallish amount of output about the chicks database. Here's the code: library(reshape) names(ChickWeight) <- tolower(names(ChickWeight)) chick_m <- melt(ChickWeight, id=2:4, na.rm=TRUE) DietResults <- cast(chick_m, diet + chick ~ time) DietResults My challenge

Dear R crew: I think I am in the right mailing list. I have a very simple dataset consisting of two variables: cestode intensity and chick size (defined as CAPI). Intensity is clearly overdispersed, with way too many zeroes. I'm interested in looking at the association between these two variables, i.e. how well does chick size predict tape intensity? I fit a zero inflated negat. binomial

Here is a summary of responses to my original email (see my query at the bottom). Thank you to Achim Zeileis , Anders Nielsen, Pierre Kleiber and Dave Fournier who all helped out with advice. I hope that their responses will help some of you too. ***************************************** Check out glm.nb() from package MASS fits negative binomial GLMs.

First: this is my first post on this list so any suggestions, let me know. I recently had to make the move from SMBFS to CIFS when I upgraded from Fedora 4 to 5. Changing settings in my /etc/fstab was easy and no errors come up but now I'm having an issue very similar to post I found on your list that got no response back in April: http://lists.samba.org/archive/samba/2006-April/119813.html

...about maybe stripping all zip, exe, pif, etc attachments from emails coming to vorbis@xiph.org? Granted, Ryan Ashley has a Very Valid Point and I agree wholeheartedly about "Any idiot who opens a pif, exe, bat, com, or any other executable file deserves what they get." and would actually encourage these feeble minded folks to "Please, Open it and Darwinate your dumb self

I''ve got some of this working but other parts are ellusive. I have CREATE TABLE `bags` ( `id` int(11) NOT NULL auto_increment, `name` varchar(255) NOT NULL default '''', PRIMARY KEY (`id`) CREATE TABLE `packages` ( `id` int(255) NOT NULL auto_increment, `name` varchar(255) NOT NULL default '''', PRIMARY KEY (`id`) CREATE TABLE

Hi folks, Getting much much much closer to the 1.0 release. I have some documentation to work on tonight, and I need to go through the patch queue one more time, but I''ve put up another pre-release for people to test. What this pre-release does is pull together the various patches, monkey patching, and alternatives that make Mongrel either faster or more stable. It is also the start

I''m trying to pull ou the ''name'' field for each of my associated rows and pass it as a string of names. I''m missing something obvious here but I thought @bag.packages.name.join(", ") would work. do I have to loop through @bag.packages? that seems like the long way. thanks -zac -- Posted via http://www.ruby-forum.com/.

after playing with the DB interaction I''m moving on to doing some file IO. but I''m completly lost as to where to put the code and how to call it. I''m trying to get a list of files in a directory and it''s not obvious to me how to do this in Rails via a controller method. so ruby code is Dir.entries("testdir").last and html code is <%=

Dear R-users, I set up an experiment where I put up bluebird boxes across an urbanization gradient. I monitored these boxes and at some point I pulled a feather from a chick and a friend used spectral properties (rtot, a continuous var) to index chick health. There is an effect of sex that I would like to include but how would I set up a regression and look at the effect of urbanization

according to the documentation of the cast function in the reshape function, I would expect this bit of code from the examples to calculate marginal means over only the 'diet' variable. #Chick weight example names(ChickWeight) <- tolower(names(ChickWeight)) chick_m <- melt(ChickWeight, id=2:4, na.rm=TRUE) cast(chick_m, diet + chick ~ time, mean, margins="diet") But,