similar to: gam plots

Dear R-users, I wondered if anyone has extended GLMMGibbs to include correlated random effects, and if so, whether they would be willing to let me use their code? Jonathan Myles has no plans to extend glmm in this manner within the foreseeable future. With thanks, Patty -- -------------------------------------------------------------------------------- Assoc Prof Patty Solomon

Dear R users I wonder if it is possible to run R code in the batch mode like in Splus (Splus5 scriptfile outputfile). Any hints? Andreas -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the

Hi all, Initially I thought this was a bug in the built-in mocking framework(and it still may be), but I better hash it out on the mailing list before I file/reopen the ticket: http://rspec.lighthouseapp.com/projects/5645/tickets/478-mocks-on-constants#ticket-478-6 I thought my example illustrated my problem, but obviously I was passing the wrong arguments to the mock. I revised my example to

Hello! I am using package "VAR". I've fitted my model: mymodel<-VAR(mydata,myp,type="const") I can extract the Log Liklihood for THE WHOLE MODEL: logLik(mymodel) How could I calculate (other than manually) the corresponding Akaike Information Criterion (AIC)? I tried AIC - but it does not take mymodel: AIC(mymodel) # numeric(0) Thank you! -- Dimitri Liakhovitski

Dear Simon, Thank you for your quick reply! I used to perform the GAMsetup in the following manner: GAMsetup sintax: x.summer: vector used for construct the spline knots<-14 N<-length(x.summer) x<-array(x.summer,dim=c(1,N)) G<-list(m=1,n=N,nsdf=0,df=knots+1,dim=1,s.type=0,by=0,by.exists=FALSE,p.order=0,x=x,n.knots=knots,fit.method="mgcv") H<-GAMsetup(G) with the

I have dose response data analyzed with the package 'drc'. 'summary(mymodel)' prints my kinetic parameters. I want that text in an ASCII text file. I want to get exactly what I would get if I copied and pasted from the terminal window. I've read the documentation on data export to text files here:

Thank you Patty, It's exactly the problem that I am experiencing. Someone told me to boot with a DOS floppy, I will try that. -----Mensaje original----- De: Patty O'Reilly [mailto:oreilly at qualcomm.com] Enviado el: jueves, 13 de noviembre de 2003 14:07 Para: pedezert at adinet.com.uy Asunto: Re: [syslinux] Unable to lock drive for exclusive accesss Intento que env??a esto: Greetings,

Hello again, I guess this is more of a Ruby question, but here goes anyways... I want to intercept all calls to non existent class methods and then call an existing class method with the non existent name. In code... class MyModel < ActiveRecord::Base def MyModel.method_missing(symbol, *args) MyModel.func(symbol.id2name) end def MyModel.func(func_called) puts "You

Can anybody share some examples of their Money implementation ? I''m trying to setup a Model to use this library, but can''t seem to wrap my head around how it is exactly supposed to work. My Model (Foo) looks like: =============== composed_of :commission, :class_name => "Money", :mapping => [ %w(commission_cents cents), %w(commission_currency currency) ] Yet, in

hi there, anybody knows how to import data into R from splus directly? I have a huge amount of data in splus format, which will cost forever for me to transform the data back to ascii or something else and then read them into R. thanks a lot. ximing -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Hi everyone, Can someone please help me in these questions?: 1)if I use crossvalidation with svm, do I have to use this equation to calculate RMSE?: mymodel <- svm(myformula,data=mydata,cross=10) sqrt(mean(mymodel$MSE)) But if I don’t use crossvalidation, I have to use the following to calculate RMSE: mymodel <- svm(myformula,data=mydata) mytest

Can anyone show me how to refer to an object name that is passed to a function, from within the function? For example: MyModel <- 1 test <- function(x) { if(x == 1) {cat("x is a valid object.\n")} } test(x) What I would like this to do is pass MyModel to function test, and if it passes a test, be able to print "MyModel is a valid object." Thanks. -- View this

In my environment.rb I say the following: MyModel.disable_ferret puts MyModel.ferret_enabled? The console works as expected: script/console false >> MyModel.ferret_enabled? => false I can then edit an instance, ferret remains disabled and the changes are not immediately indexed. However, when I start mongrel Ferret is initially disabled, but then somehow becomes enabled again

Dear users, I'll appreciate your help with this (hopefully) simple problem. I have a model object which was fitted to inputs X1, X2, X3. Now, I'd like to use this object to make predictions on a new data set where only X1 and X2 are available (just use the estimated coefficients for these variables in making predictions and ignoring the coefficient on X3). Here's my attempt but, of

Buenos días: Tengo un determinado código en R que en una máquina funciona correctamente, pero en otra devuelve un error del tipo "Error en as.formula(mymodel): Objeto ''mymodel'' no encontrado''" En mi código: mymodel <- "y ~ x1[, 1] + x2[, 1]" res <- lm (as.formula(mymodel)) ¿Qué puede estar motivando ese error?. La máquina en la que falla

This should be very easy, but alas, I'm very new to R. My end goal is to calculate p-values from arima(). Let's say I just ran this: > MyModel <- arima(y[1:58], order=c(1,0,0), xreg=MyData[1:58,7:14], > method="ML") > MyModel And I see: arima(x = y[1:58], order = c(1, 0, 0), xreg = MyData[1:58, 7:14], method = "ML") Coefficients: ar1

Hello, I'd like to create a model with a factor-type response variable. This is an example: > mydata <- data.frame(factor_var = as.factor(c(rep('one', 100), rep('two', 100), rep('three', 100))), real_var = c(rnorm(150), rnorm(150) + 5)) > summary(mydata) factor_var real_var one :100 Min. :-2.742877 three:100 1st Qu.:-0.009493 two

If I disable ferret in my environment file and then run a cron job every hour to index the records that have been added/changed, do I enable Ferret just in the script that does the hourly indexing? Or do I somehow need to tell the process that runs the Ferret DRB server that it should start writing to the index again? Thanks in advance. Erik

Hey, I have the following line in my controller: User.create(:email => "fuuu-+RB1Aph5k6s@public.gmane.org", :password => ''asldfkjadsfadsf'', :ip => request.remote_ip) my IP is 127.0.0.1 - now User.find_by_ip(''127.0.0.1'') returns 0 records although User.first contains ''127.0.0.1'' if I change it to: User.create(:email =>

Hi, everyone. I am using a fair amount of closures in my code. Problem i am experiencing is i cannot figure out how to mtrace functions defined within a function. There must be some way to name such function for mtrace to see it and let me step into it. For example, say i have code mymodel<-function(){ data<-numeric(0) build<-function(){ data<<-1 } m<-list()