similar to: Reference Classes/S4 Classes: can method dispatch check superclasses BEFORE resorting to method for "ANY"?

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, 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.

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?

> 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 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',

Dears, I have a question about copying reference objects using the initialize method. 1) If the latter has no arguments, there is no problem to copy an object. myClass = setRefClass("myClass", fields = list(value = "numeric") ) myClass$methods(initialize = function(...){ ? value <<- 1 ? callSuper(...) }) newObject = myClass$new() newObject$value = 2 copyObject =

Dear list, is there a shortcut-function to check whether a class is a Reference Class or not? There's something like this for S4 classes ('isS4(object)'), but I couldn't find anything regarding Ref Classes. Currently, I'm doing it this way, which is a bit clumsy: A <- setRefClass("A", fields=list(X="numeric")) a <- A$new() isRefClass <-

Dear list, a while ago I posted this at r-devel but got no answers. Hope it?s okay to give it a shot again by cross-posting it here. TIA for any comments, Janko Von: Janko Thyson [mailto:janko.thyson.rstuff at googlemail.com] Gesendet: Montag, 21. Februar 2011 00:58 An: r-devel at r-project. org (r-devel at r-project.org) Betreff: Reference classes: error with missing arguments in method calls

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

Dear list, I have a reference class which should act as a "generic" superclass for other classes. I've read the respective section at ?setRefClass and put the name of the superclass to the 'contains' argument of an example subclass (see class defs below). Classnames are set in a way that shouldn't result in collation issues (virtual def sourced before superclass def

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

Dear list, I was wondering if you could help me out in clarifying something: Is it possible to use class "ANY" in slots/fields of formal classes if you a) do not want to restrict valid classes of that field and b) if you are making explicit use of class inheritance? It seems to work in simple scenarios but produces errors when class inheritance comes into play. So I was

Sorry guys, but I chose a really stupid name before (no "reference classes"). Hope it's okay to re-post. Cheers, Janko >>> ORIGINAL MESSAGE <<< Dear list, Is it possible to update or reassign '.self' with an image of '.self' (e.g. a locally stored .Rda file) from within a method? I know that this might sound akward, but here's the use

Dear list, I make use of cached objects extensively for time consuming computations and yesterday I happened to notice some very strange behavior in that respect: When I execute a given computation whose result I'd like to cache (tried both saving it as '.Rdata' and via package 'R.cache' which uses a own filetype '.Rcache'), my R session consumes about 200 MB of

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

Dear list, I think I stumbled across a little bug with respect to the standard initialization routine for Reference Classes. It seems that a field 'self' is treated as if it's name would be '.self' (which we know is reserved for the self reference of the instantiated object itself) and thus an error is thrown. If the field value is assigned in an explicit call after the

I'm having trouble using split on a very large data-set with ~1400 levels of the factor to be split. Unfortunately, I can't reproduce it with the simple self-contained example below. As you can see, splitting the artificial dataframe of size ~13MB results in a split dataframe of ~ 144MB, with an increase memory allocation of ~10 fold for the split object. If split scales linearly, then my

Greetings, I am trying to use Reference Class methods in Snowfall, using R 2.12.1 on Ubuntu Natty. Using then directly seems to work (stanza 2 below), but using them indirectly does not (stanza 3 below). I get an "attempt to apply non-function" error. In addition to exporting the instance of the object I created to the Snowfall slaves, I also made several attempts to export the

Listers, I have a question regarding correlation matrices. It is fairly straight forward to build a correlation matrix of an entire data frame. I simply use the command cor(MyDataFrame). However, what I would like to do is construct a smaller correlation matrix using just three of the variable out of my data set. When I run this: cor(MyDataFrame$variable1,

Hi guys, here is a list of names that I have: MyList: > myList<-list("A", "B","C","D") > myList [[1]] [1] "A" [[2]] [1] "B" [[3]] [1] "C" [[4]] [1] "D" I want to turn this list into a matrix of 1 row and 4 columns with those four components (A, B, C, D) so here is what I do: myDataFrame <-