similar to: Please, remind a function name

I am writing a package, which contains several functions and variables. The variables are for internal use by functions. Functions are ment to be callable by a user. However, the function cannot access these variables. The package contains only R code, and was created using package.skeleton package.skeleton(name="ac9", list=c(ls(pattern="(AB2)|(ac9)"),

I am sorry, my previous questions about hiding variables from users in a package were obscure and vague, and would like to clarify them. This should be a basic question. I am writing my first package. It has several functions, which should be callable by users. These functions use several variables, and I would like to hide these variables from users. How can I do it? For example, the package

Hallo, as I see there is a new version for R available. Can anyone tell me how I can update my version 2.5.0 under Windows? The last times I just uninstalled the old version and installed the new one. Afterwards I had to install also all needed packages again. All in all it cost me half a day until my system works fine again. Is there a quicker option? If yes please tell me the commands. Thanks,

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

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:

Hi All, I have a netcdf gridded file with LCC projection. I can easily use image.plot to visualize it. However, as the axises are in X,Y, not Lat and Lon, I could not add state or country maps onto it (or lat lon information). I do have a grid2d file that describes the lat and lon for each (X,Y) grid, but the lat and lon are not regularly spaced, so I could not use image.plot. Does anyone know

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 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

Dear r-help, I need to draw xyplot() graphs with several regression lines: one line for the whole range of x (the variable on the horizontal axis) and two additional lines for subranges of x. Is it possible to make first regression line (panel.lmline(x,y,...);) to be drawn on the whole graph and regression lines of the subsets to be drawn only over their subsets? I have defined

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()