similar to: Model Validation & Floating Attributes

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

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:

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 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

?sink On May 18, 2018 9:47:25 AM PDT, Ed Siefker <ebs15242 at gmail.com> wrote: >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

I''m getting confused. If I have a view (.rhtml), I can use a field helper like: <%= text_field :mymodel, :attribute %> This uses the value from @mymodel.attribute Now, if I am rendering a template normally (i.e. not partial), I would expect @mymodel to be a model object defined as an instance variable in the controller. However, if I am rendering a partial template, I

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

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

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

Please excuse yet another newbie question... I''m getting this error: MissingSourceFile in <controller not set>#<action not set> c:/program files/ruby/lib/ruby/gems/1.8/gems/actionpack-1.8.1/lib/action_controller/dependencies.rb:75:in `require_dependencies'': Missing model MyModel.rb From these lines of code: class MyModelController < ApplicationController

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

Dear experts, I have a few quick questions related to GLMs: 1) Suppose my response is of the type Yes/No, How can I control which response I'm modelling? 2) How can I perform Type III tests? Is it with -> drop1(mymodel, test="Chisq") ? 3) I have a numerical variable which I converted to an ordered factor as shown below, but in the summary results of the logistic regression I

I''m trying to add some code for my ActiveRecord class so that it is executed whenever an object is updated, this code is a seperate process that reads from the same table represented by my model class so when it runs it needs the database to be up to date. In the following situation this is fine: # MyModel def after_save `/usr/local/bin/update_models -i #{self.id}` end # controller

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()

Dear All, I am trying to reproduce the example that I found online here http://bit.ly/11VG4ha However, when I run my script (pasted at the end of the email), I notice that there is a factor 2 between the values for the coefficients for the categorical variable female calculated by my script and in the online example. Any idea about where this difference comes from? Besides, how can I

Hi everyone I have a question about how to save a regression model in R and how to retrieve it for making predictions in a new session. To be more specific, I fitted a multilevel logistic regression model using the lmer from the "lme4" package. I then successfully make predictions using fitted(mymodel). Since data are complex (three levels, nested, numerous categorical and

Dear R users, Using the library(mgcv) and running R under MacOSX, I have fitted a generalised additive model with binomial errors in order to check the linearity of two continuous variables ap2mm and diffdaysm in a glm: > mymodel.gam <- gam(diedhos~ s(ap2mm) + Dweekm + s(diffdaysm) + Dweekm:diffdaysm + ap2mm:Dweekm, binomial) I would like postscript gam plots for the two smoothed

I love the query interface (ActiveMethod::QueryMethods), but one thing has bugged me: why doesn''t it generate calls for polymorphic associations? For example: class MyModel < ActiveRecord::Base belongs_to :parent, :polymorphic => true end I would expect: MyModel.where(:parent => a) to be equivalent to: MyModel.where("my_models.parent_id = ? AND

I have an ActiveRecord model with a cattr_accessor. The class attribute is set up like this: class MyModel < ActiveRecord::Base cattr_accessor :my_attribute end Because I need to give #my_attribute environment-specific values, I try to set this attribute in environments/development.rb like so: MyModel.my_attribute = 3 But this leads to odd and erratic behavior when #my_attribute is called