similar to: require or import methods?

Hi I want to create a new generic method, but I end up with an error (evaluation nested too deeply). see the transcript below. The function beginYear.Fun() works, but not beginYear. I have no idea why. Any ideas welcome, Rainer > setClass("fun", representation(x = "numeric")) [1] "fun" > new("fun") An object of class ?fun? Slot "x":

I'm trying to write a package which uses classes/methods as defined in the `methods' package. I have a single .R file which defines the class and various methods for that class. At the top of the file I have require(methods) and then setClass("myclass", ...) setGeneric("intersect") setMethod("intersect", "myclass", function(x,y) ...) I noticed

Dear list, I was wondering how to best implement some sort of a "plugin" paradigm using R methods and the dispatcher: Say we have a function/method ('foo') that does something useful, but that should be open for extension in ONE specific area by OTHERS using my package. Of course they could go ahead and write a whole new 'foo' method including the features they'd

hi. below is a small test case (hopefully minimal, though i'm still a bit confused about initializers). i would have guessed (and maybe i still would have been right) that one could re-use the name of a generic function for functions with different numbers of arguments. in the case below, class A's bB() queries the status of a single A object, so bB(A) (where here "A" is an

Hi all: we have noticed for quite a while that certain errors cannot be handled by R try, tryCatch etc blocks, but it was fairly difficult to understand what were the conditions for this incorrect behaviour. Finally I stabbed across a very understandable case, which is outlined in the (runnable) example below. The main message is: wrapping an S4 method call in a try block will not help if an

For documentation we use a system that generates Rd files from special comments in the code. (inlinedocs). It is crucial to be able to get the defining source code for objects like methods to extract the comments from it. Here is an R session that shows how this works for several kinds of methods and (at the end of the session) how if fails for methods of "initialize" >

I feel tedious when I define a S4 class and the methods. For each method, I have to call both setMethod and setGeneric (or both setReplaceMethod and setGeneric). I would like a more compact grammar so that I can reduce the key strokes. I'm wondering if there is a better way available. setClass( Class='A', representation=representation( x='numeric' )

Hi, i have used S4 classes to implement a unified access to random number generators (package rstream on CRAN). I have used a construct to allow optional arguments: if(!isGeneric("rstream.sample")) setGeneric("rstream.sample", function(stream,...) standardGeneric("rstream.sample")) setMethod("rstream.sample",

For learning purposes mainly I attempted to implement hashes/maps/dictionaries (Python lingua) as S4 classes, see the coding below. I came across some rough S4 edges, but in the end it worked (for one dictionary). When testing ones sees that the dictionaries D1 and D2 share their environments D1 at hash and D2 at hash, though I thought a new and empty environment would be generated each time

Hello. This question concerns the Methods package. I have created a new class and am trying to set a method for it for S4 group generic "Summary". I have run into some signature problems. An example: > setClass("track", representation(x="numeric", y="character")) [1] "track" > setGeneric("max", group="Summary")

Hello. I am trying to write an S4 method for rbind(). I have a class of objects called 'mdm', and I want to be able to rbind() them to one another. I do not want the method for rbind() to coerce anything to an mdm object. I want rbind(x1,x2,x1,x2) to work as expected [ie rbind() should take any number of arguments]. This is what I have so far: setGeneric(".rbind_pair",

i believe the following is true but would appreciate confirmation that it is intended behavior and will continue: if a default argument is employed in the definition of a generic function, and the generic is called with the argument in question (call it 'ARG') missing, then the method for signature (..., ARG = "missing", ...) will be called by 'standardGeneric'

In the following code, 'multiply' doesn't multiply a at x by 2. I'm wondering how to define a method that can change the slot of a class. $ Rscript setGeneric.R > setClass( + Class='A', + representation=representation( + x='numeric' + ) + ) [1] "A" > > setMethod( + f='initialize', +

Hi, I was wondering if there was a way to store the results of a computationally expensive "getter" call on an S4 object, so that it is only calculated once for each object. Trivial example: let's say I want to cache the "expensive" area calculation of a square object. setClass("Square", representation( length='numeric',

Hello, I experienced a strange behaviour of callNextMethod when used in either initialize or any other S4 function method definition. Help says callNextMethod calls the next inherited method for the current function from where it is called with the same actual (non missing) arguments. This is OK. The problem appears when some formal arguments (in particular, S4 objects) of this function are

Dear List, I'm struggling with the signature writing cbind/rbind functions for a S4 class. First of all, I'm very happy that it is now possible to dispatch on ... I follow the example for "paste" in ?dotMethods, which works as far as this: ### start example setClass ("cbtest", representation = representation (data = "data.frame"),

Some quick questions about S4 methods. Does the typing of S4 methods mean that lazy evaluation is no longer possible? It seems that you would need to evaluate the arguments to determine their type at dispatch. Second, what role, if any, do default arguments play in S4 methods? I notice that you can put default arguments into generics but that the dispatch is still done on the type of the

Dear R-developers community, I have the following generic: setGeneric( name="newsample", def=function(x,y,z,a,b,c,...){standardGeneric("newsample")} And I can build several methods for this generic. One useful thing is to use "newsample" with only one of the 6 arguments listed. At the moment this is what I do: setMethod(

Hello, the last command (isGeneric) in following R-code (attached) produces different output, depending on wheter 1.8.0 alpha or 1.7.1 is used. Is that to be expected ? Both R Versions were started with option vanilla --------------------------------------------------- R.1.7.1: --------------------------------------------------- > version _ platform i686-pc-linux-gnu arch i686

Hi, I have some problems with the memory usage of S4-generics. For example, I observed the following behaviour: > gc() used (Mb) gc trigger (Mb) Ncells 432091 11.6 531268 14.2 Vcells 116052 0.9 786432 6.0 > setClass("A",representation(x="numeric")); [1] "A" > setClass("B",representation(x="numeric")); [1] "B"