similar to: problem with ar-extensions import

I''ve seen a number of ways to use AR outside of rails, and am wondering what other think is the best approach for my particular application. The application is in it''s own module namespace. To use it within rails you just require it in application.rb and instantiate a class to call methods on. It''s also well suited to be used from other various applications though.

Dear list, I made a logistic regression model (MyModel) using lrm and penalization by pentrace for data of 104 patients, which consists of 5 explanatory variables and one binary outcome (poor/good). Then, I found bootcov and robcov function in rms package for calculation of confidence range of coefficients and odds ratio by bootstrap covariance matrix and Huber-White sandwich method,

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

?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

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

Hi Steven- Nice, but will this not break Windows? From an initial glance over your patch, it seems to assume the existence of mmap() in some form or other. Alistair On 8 Aug 2010, at 03:05, Steven Noonan wrote: > Hi folks, > > I've been doing work on memory reduction in Unladen Swallow, and > during testing, LiveRanges seemed to be consuming one of the largest > chunks of

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

Hi folks, I've been doing work on memory reduction in Unladen Swallow, and during testing, LiveRanges seemed to be consuming one of the largest chunks of memory. I wrote a replacement allocator for use by BumpPtrAllocator which uses mmap()/munmap() in place of malloc()/free(). It has worked flawlessly in testing, and reduces memory usage quite nicely in Unladen Swallow. The code is available

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

I write about R every weekday at?http://blog.revolution-computing.com . In case you missed them, here are some articles from the month of April of particular interest to r-help subscribers. Thanks to everyone who has been following the blog and sending me messages and/or leaving comments -- it always brightens my day to hear from readers! http://tinyurl.com/cy7x9a?(from April 1) announced the new

Hello all ! I have a model being validated that spits it''s error messages on the resulting page using: error_messages_for(:mymodel) .... Basic stuff. It''s working perfectly. Now, I have something else I want to check on the same page (that isn''t an attribute to the Model)... and am trying to add it using: @mymodel.errors.add_to_base("another error here")

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

hi, i''m indexing a really large db table (~4.2 million rows). i''ve noticed that after ~2M records, index performance decreases by almost an order of magnitude. full dataset graph here: http://i122.photobucket.com/albums/o244/spokeo/indexer-data.jpg here''s a couple best-fit lines that represent the data points: 0-2M : y = 78.65655x + 144237.5 2.5M+ : y = 10.79832x +

Dear R-helpers I have generated a suite of GLMs. To select the best model for each set, I am using the meta-analysis approach of de Luna and Skouras (Scand J Statist 30:113-128). Simply put, I am calculating AIC, AICc, BIC, etc., and then using whichever criterion minimizes APE (Accumulated Prediction Error from cross-validations on all model sets) to select models. My problem arises where I

Dear R users, I use mclust to fit a mixture of normal distributions to many datasets. Usually the Mclust function finds 1 or two normal distributions, rarely, 3. But I hit a strange case today. my.data <- c(57.96920, 51.79415, 51.20538, 55.53637, 51.64291, 56.61476, 51.28855, 55.56169, 51.85113, 54.03330, 51.37370, 49.48561, 52.41580, 53.51176, 60.49293, 55.77012, 51.59270, 56.29660,

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

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