similar to: Reference Classes: shortcut like 'isS4' for Ref Classes?

hello, if i load the RSQLite package in addition to the RPostgreSQL package, i get various errors when trying to use RPostgreSQL functions. here is an example transcript showing one such error: ========================================================== R version 2.15.0 (2012-03-30) [...] > packageVersion('RPostgreSQL') [1] 0.3.2 > packageVersion('RSQLite') [1] 0.11.1

Hi all, I've constructed the following function to test whether or not an object was created from a reference class: isRefClassObject <- function(x) isS4(x) && is.environment(attr(x,'.xData')) && exists('.refClassDef',attr(x,'.xData')) but I'm unsure if it's a complete test or if there's a better way to test. Regardless, It would be

> setRefClass("Foo", fields = list()) Error in setRefClass("Foo", fields = list()) : A list argument for fields must have nonempty names for all the fields In my opinion, the above should not fail. There are no fields. Thanks, Michael [[alternative HTML version deleted]]

Dear list, I don't know what's the correct term for this in the OOP context, but is it possible to "clone"/copy an instance of a reference class (say 'a') so that I get an *autonomous* second instance 'b'? Autonomous in the sense that changes to 'a' do not affect 'b'. I know that this is somewhat against the pass-by-reference paradigm, but the

Hi there, I''d like to choose between an "static" and "dynamic" access of a reference class field, say ''a''. myObj <- getRefClass("Blabla")$new() Static: myObj$a Dynamic: myObj$a.get() where the function retrieves the data from a database (or some other location), stores it to a buffer and

Dear list, just to make sure that I understand 'unregistering' methods for S4 reference classes correctly: If I registered a method and want to 'unregister' (i.e. remove) this method again, objects/instance created of the respective class still feature the removed method until I do an explicit reassign ('my.instance <- getRefClass("Classname")$new()'), right?

> setClass("A", "integer") > isS4(new("A")) [1] TRUE > identical(isS4(new("A")), TRUE) [1] FALSE > sessionInfo() R Under development (unstable) (2012-10-04 r60876) Platform: x86_64-unknown-linux-gnu (64-bit) locale: [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8 [5]

Hi R-devel, The following code: all.equal(baseenv(), baseenv()) gives the error when run in a clean R session with latest R-devel (r66650): kevin:~$ R --vanilla --slave -e "all.equal(baseenv(), baseenv())" Error in all.equal.envRefClass(target[[i]], current[[i]], check.attributes = check.attributes, : attempt to apply non-function Calls: all.equal ...

Dear all, I run a gamm with following call : result <- try(gamm(values~ s( VM )+s( RH )+s( TT )+s( PP )+RF+weekend+s(day)+s(julday) ,correlation=corCAR1(form=~ day|month ),data=tmp) )" with mgcv version 1.6.2 No stress about the data, the error is not data-related. I get : Error in isS4(x) : object 'VM' not found What so? I did define the dataframe to be used, and the

Dear list, I'm wondering if the following error I'm getting is a small bug in the Reference Class paradigm or if it makes perfect sense. When you write an explicit initialize method for a Ref Class, can you then make use of '.self' WITHIN this initialize method just as you would once an object of the class has actually been initialized? Because it seems to me that you can not.

Hi there, is it possible to register fields as you can register methods with getRefClass("Classname")$methods(.)? I know that you should usually give some thought on which fields you need and hardcode them in the class def. But I''m playing around with dynamically creating/extending sort of a template class that already offers basic functionality shared by all objects

Dear list, I wonder how to write methods for the function 'as' in the sense that I can call 'as(object, Class, strict=TRUE, ext)' and let method dispatch figure out the correct method. AFAIU, there is a difference between, e.g. 'as.data.frame' and the methods of 'as()' as stated above since the former depends on arg 'x' instead of 'object',

Hi, I'm trying to create a package that contains reference class definitions from which users can create reference objects, but there seems to be something awry. My toy example creates an empty package via package.skeleton('TestClass') to which I add the following R code: TestClass <- setRefClass('TestClass',fields=c('name')) Unfortunately my R console output

I'm using refClass for a complex multi-directional tree structure with possibly 100,000s of nodes. The refClass design is very impressive and I'd love to use it, but I've found that the size of refClass instances are very large and creation time is slow. For example, below is a RefClass and normal S4 class. The RefClass requires about 4KB per instance vs 500B for the S4 class --

When a reference class method is accessed with .self$x, it has different behavior from .self[['x']]. The former copies the function to the object's environment (with some attributes attached), and the latter just return NULL (unless it has already been accessed once with .self$x). Is this how it's supposed to work? Here's an example that illustrates:

Dear list, is it possible that method dispatch checks for superclasses/virtual classes before checking "ANY"? I'd like to build a generic initialization method for all my Reference Class (say "MyDataFrame") objects by having them inherit from class, say "MyRefClassVirtual" (which would have to be a virtual S4 class; there are no virtual Reference Classes,

Hi Accesses the $new method for a class defined in a package fails if the methods package is not loaded. I have created a test package with the following single code file: newTest <- function() { cl <- get("someClass") cl$new } someClass <- setRefClass("someClass") (This is similar to code actually used in the testthat package.) If methods is not loaded,

Hi everyone, just wanted to ask what's the smartest/recommended way of defining getter and setter function *shortcuts* (i.e. something like "[", "[<-") for Reference Class objects? Or is it desired to not use this stuff, but define methods like 'obj$getSubset(row=1:3, col=1)' and 'obj$setSubset(value=x)' instead? I have some example code that might

Hi Gabe, On 09/29/2015 02:51 PM, Gabriel Becker wrote: > Herve, > > The problem then would be that for A a refClass whose fields take up N > bytes (in the sense that you mean), if we do > > B <- A > > A and B would look like the BOTH take up N bytes, for a total of 2N, > whereas AFAIK R would only be using ~ N + 2*56 bytes, right? Yes, but that's still a *much*

Hi, Currently object.size() is not very useful on environments as it always returns 56 bytes, no matter how big the environment is: env1 <- new.env() object.size(env1) # 56 bytes env2 <- new.env(hash=TRUE, size=75000000L) object.size(env2) # 56 bytes env3 <- list2env(list(a=runif(25000000), L=LETTERS)) object.size(env3) # 56 bytes This makes it pretty useless on