similar to: Sealed for setGeneric

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 the list, I define a method that want to change an object without assignation (foo(x) and not x<-foo(x)) using deparse and assign. But when the argument of the method does not match *exactly* with the definition of the generic function, assign does not work... Anything wrong? Christophe #------ Does not work ------#

There seems to be a bug arising when using multiple S4 generics with "..." as the signature. The following code works as expected: ############################################################## > setGeneric("rbind", function(..., deparse.level=1) standardGeneric("rbind"), + signature = "...") Creating a generic for "rbind" in

Dear all, I can't see how setGeneric() works. I know perfectly well how to define library(methods); setClass("Square", representation(side="numeric")); # Will become the default method. getArea <- function(object) { stop(paste("Method getArea() is not defined for this class:", data.class(object))); } setMethod("getArea",

Hi, We are developing a package using S4 classes. The S4 classes are wrappers to C++ classes. So S4 classes contain an integer that is the memory address of one C++ object. If an user calls the rm() function, the C++ object must be deleted. But our generic rm() function apparently doesn't work. Here is the code: # The class setClass("component",

In the last few days I've received couple of messages pointing out that our SparseM package fails to install on the patched version of 1.7.0. Laurent Gaultier kindly suggested that replacing: setGeneric("as.matrix.csr") by setGeneric("as.matrix.csr", function(x, nrow, ncol, eps) standardGeneric("as.matrix.csr")) was sufficient to fix the problem.

I created some S4 objects that are essentially data frame objects. The S4 object definitions were necessary to verify data integrity and force a standardized data format. I am, however, finding myself redefining all the typical generic functions so that I can still manipulate my S4 objects as if they were data frames ... I have used setMethod to set methods for "subset",

Hi, while playing with the `methods' package I was not able to find what the recommended way of dealing with the following problem is. Suppose there is a generic function `foo' and two functions `foo.default' and `foo.formula', in the classical way: foo <- function(y, ...) UseMethod("foo") foo.default <- function(y, ...) {} foo.formula <- function(formula,

Hello all, I'd like to report a problem related to S4 classes. Platform: Mac G4/400 PCI (PPC-architecture) Mac OS 10.4.8 R 2.4.1 for Mac OS X (CRAN binary, 2006-12-19) w/ R.app 1.18 Last December, Simon Urbanek confirmed that the issue is not platform related, and that it is most likely a bug. He suggested to post my report to "the appropriate mailing list" -- I choose r-devel.

Hi, S4 method dispatch can be very slow. Would it be reasonable to cache the most recent dispatch, anticipating the next invocation will be on the same type? This would be very helpful in loops. fun0 <- function(x) sapply(x, paste, collapse="+") fun1 <- function(x) { paste <- selectMethod(paste, class(x[[1]])) sapply(x, paste,

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")

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",

Hi, I'm doing a k-means cluster with 6 clusters and 15 variables. Any suggestions on how to plot the results? I've tried the standard xy plot, but couldn't get much of it. Thansk in advance, Iuri.

Hi the list, I am defining S4 objet. Is it possbile to define a method that change the slot of an object without using <- ? My object contain a numeric and a matrix. At some point, I would like to impute the missing value in the matrix. So I would like to use something like : ----------------- setClass("MyObj",representation(time="numeric",traj="matrix")) a

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'

Hello, If the signature of a method defines which generic it implements then I'm confused about why this minimal example I invented won't work : setGeneric("myFun", function(rs, ...){standardGeneric("myFun")}) setGeneric("myFun", function(cs, ...){standardGeneric("myFun")}) setMethod("myFun", "numeric", function(rs, colour =

Hi. I am having difficulty following section 1.6.6 of the R-extensions manual. I am trying to update the Brobdingnag package to include a NAMESPACE file (the untb package requires the Brobdingnag package). Without the NAMESPACE file, the package passes R CMD check cleanly. However, if I include a NAMESPACE file, even an empty one, R CMD check gives the following error in 00install.out:

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":

Full_Name: Bert Gunter Version: 2.1.1 OS: Windows 2000 Submission from: (NULL) (192.12.78.250) There appears to be either a bug or documentation problem in setMethod/setGeneric with how default arguments are handled. The setMethod Help says: ****** Method definitions can have default expressions for arguments. If those arguments are then missing in the call to the generic function, the default

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