similar to: Nolinear mixed-effects models (nlme)

Do you send information about lactation curve analyse with no linear mixed model, with fixed effects (herd, year season, parity) and random effects (cow)?. Than you very much Mario Fernando [[alternative HTML version deleted]]

It would appear that using :include on a model that has_many with an :order on another model makes it so that the order is ignored. Is this supposed to happen? Strikes me as odd behavior. For example class Farmer < ActiveRecord::Base has_many :cows, :order => ''position'' end class Cow < ActiveRecord::Base acts_as_list :scope => :farmer end If I do

Hi, I am a Rails noob. Suppose you have: --- class Animal < ActiveRecord::Base end class Mammal < Animal end class Cow < Mammal end --- I provide Animal,Mammal and Cow controllers with the scaffolding, just to test and to fill up the Animal table. I can see the "type" column getting it''s value set with the class name. So far, soo good. Now, since listing Animals

Hello guys, I have these models class Farmer < ActiveRecord::Base has_many :cows end class Cow < ActiveRecord::Base set_table_name :cows belongs_to :farmer end ... graph = Farmer.find(x) # Retrieves four cows of x graph.cows[1].name = "Trottolina" graph.save while adding a new cow to collection works perfectly fine, ActiveRecord doesn''t

Does lme prediction work correctly with poly() terms? In the following simulated example, the predictions are wildly off. Or am I doing something daft? Milk yield for five cows is measured weekly for 45 weeks. Yield is simulated as cubic function of weekno + random cow effect (on intercept) + residual error. I want to recover an estimate of the fixed curve. ############### library(nlme)

Hi all, I'm a PhD student at sydney uni and am trying to run a non linear mixed model program to obtain estimates of parameters describing dairy cow lactation curves. At present, I have been able to get the data to converge using the S plus (S plus 2000) nlme function. However, when I put the same data into R (R 1.9.0), add in the nlme package and run the code, it does not converge by the

Greetings R Help Group, How does one effect a multiphasic logistic growth model with 4 phases (e.g. Koops 1986; Weigel, Craig, Bidwell and Bates 1992; Grossman and Koops 2003) with R. Before writing to the group, the R help archives were searched, the web was searched with Google, Venables and Ripley 2002 was consulted, Pinheiro and Bates 2000 was consulted, Bates and Watts 2007 was bought and

I want to combine a selection of data from two tables and display it as list. Note that this isn''t a join. i''m looking for something like this: Table 1: Sheep Name, Age, Farmer, etc. (sheep specific columns) Table 2: Cows: Name, Age, Farmer, etc. (cow specific columns) For my display I nneed something like this: Farmer Jone''s Livestock: TYPE NAME AGE Cow

I''m currently taking a Rails project management app I built when learning Rails and adding specs to it. During the course of building the app the requirement that project should be archiveable was added. So a project is in one of two states active or archived. This led to the creation of the following methods: Project.active_projects Project.archived_projects @project.active?

I heard this project mentioned on the MythTV mailing list this weekend. I'm interested in finding more out about the way * works, but I can't seem to find something that talks about the benefits of having such a program in a home with a single line. What type of hardware would be required and any additional wiring that may be required. Does * support different rings for different callers

Hi, I need help writing a function I capture seal pups mutliple times during the lactation season in order to monitor their growth rate. When I release them, the recovery (mother-pup) time is not the same for all individuals. I want to know if individuals that recover their mother the fastest are the ones with the highest growth rates. So, I noted at every release if the pup

Dear R-gurus, I am pretty much new on R. I am trying to to do a repeated analysis of a linear mixed model with R, and I consistently fail... The problem is: Cow is the random factor, treatment is the fixed factor. The dependent variable is milk yield, which is measured several times (repeatedly over time), thus there is another variable which is time (i.e. week). The model would be

Hi all, I have considered neural network to classify the health status of the cow. I found a very neatly written R codes for classification method in here<http://home.strw.leidenuniv.nl/~jarle/IAC/RRoutines/classification-example.R> . It would be very helpful if you can answer some of the questions, that I am struggling with, I have set of time series data from different animals, I use

Hi, anyone knows how i can get the input from a mircophone as a byte-array stream in VC++ ?? So that i can encode it with speex an send it away. The second thing is, to decode the speex frame and play it on the speakers. It would be helpfull if you can give me a link to a site which explains this topic an include some littel code sampels. Thanks. Best regards Sören Krings mailto:spontexx@web.de

In xyplot, I would like to get the "data into the panel function" in the following sense: Consider xyplot(scc~time|cowidp, data=cow.s,type=c("l"), panel=function(x,y,subscripts,...){ panel.xyplot(x,y,...) vvv<-cow.s[which(!is.na(cow.s[subscripts,"mastreat"])),"time"] panel.abline(v=vvv,col="red",lwd=2) } ) If I want to use a

hi- I would like to get a value set with the dos set command (e.g. set dog=cow) in a rterm session on rterm 1011 under windows 2000. if I try in a dos window: set dog=cow echo %dog% i get cow (what I want) then i start rterm system("echo %dog%",intern=T) gives "%dog%" I can of course do something like set dog=cow echo %dog% >jnk.rin and then start rterm and

On Mon, Jun 22, 2020 at 4:02 PM John Hubbard <jhubbard at nvidia.com> wrote: > > On 2020-06-22 15:33, Yang Shi wrote: > > On Mon, Jun 22, 2020 at 3:30 PM Yang Shi <shy828301 at gmail.com> wrote: > >> On Mon, Jun 22, 2020 at 2:53 PM Zi Yan <ziy at nvidia.com> wrote: > >>> On 22 Jun 2020, at 17:31, Ralph Campbell wrote: > >>>> On

When using a filter that rounds up to alignment boundaries, the tail bytes of the plugin are difficult to access correctly. Rather than duplicating lots of code already in the truncate filter, it's easier to just make the other filters default to rounding down and add doc links on how to round up instead. Eric Blake (2): blocksize: Lift restriction against 0-size file cache, cow: Round

The following commands: nbdkit -fv --filter=cow memory size=512 --run 'qemu-img info $nbd' nbdkit -fv --filter=cache memory size=512 --run 'qemu-img info $nbd' both fail with: nbdkit: memory[1]: error: realloc: Success Initial git bisect pointed to commit 3166d2bcbfd2 (but I don't believe that commit is the real cause, it merely exposes the bug). The reason this

I want to eliminate the COW feature on all of my OS files. It is a nice feature for user files, but I don''t see a clear benefit for the actual OS files. And I suspect that COW induced fragmentation is causing or aggravating problems with my system including the boot open_ctree problem. I had planned to recursively chattr these files to "nodatacow" status but then I ran