[Rd] Question about copying reference objects using the initialize method

Martin Morgan mtmorgan at fhcrc.org
Wed Nov 2 20:27:55 CET 2011


On 11/02/2011 08:16 AM, Aleix Ruiz de Villa wrote:
> Martin,
>
> thanks. So then I should use options (3) or (4). That's all. Is there
> an efficient way to initialize arguments if I have a long list of
> arguments? maybe using a 'list'? so that the header of the function is
> displayed in a friendly style?

Hi -- I'm not really understanding your question.

Martin

>
> Thanks again!
>
> 2011/11/1 Martin Morgan<mtmorgan at fhcrc.org>:
>> On 10/31/2011 08:53 AM, Aleix Ruiz de Villa wrote:
>>>
>>> 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$value = 2
>>> copyObject = newObject$copy()
>>> copyObject$value = 3
>>> print(newObject$value)
>>> print(copyObject$value)
>>>
>>>
>>> 2) However, if the initialize method has arguments, I get an error:
>>>
>>> myClass = setRefClass("myClass", fields = list(value = "numeric") )
>>> myClass$methods(initialize = function(extValue, ...){
>>>
>>>    value<<- extValue
>>>
>>>    callSuper(...)
>>> })
>>> newObject = myClass$new(extValue = 2)
>>> copyObject = newObject$copy()
>>>
>>> Error in .Object$initialize(...) :
>>>    argument "extValue" is missing, with no default
>>>
>>>
>>> I understand that copy() first builds another instance of the object
>>> and then copies the fields. But it calls new without arguments...
>>>
>>> 3) One solution would be the initialize values by default
>>>
>>> myClass = setRefClass("myClass", fields = list(value = "numeric") )
>>>
>>> myClass$methods(initialize = function(extValue = 1, ...){
>>>
>>>    value<<- extValue
>>>
>>>    callSuper(...)
>>> })
>>>
>>> newObject = myClass$new(extValue = 2)
>>> copyObject = newObject$copy()
>>>
>>>
>>> But I have a long list of arguments, so this way would be a little
>>> uncomfortable. On the other hand, I've been told that in OOP, the idea
>>> of the initialise method is to use the minimum information to build
>>> the oject. So passing a long list of arguments is not a good idea.
>>>
>>>
>>> 4) Another option is to first build the object and then set the parameters
>>>
>>> myClass = setRefClass("myClass", fields = list(value = "numeric") )
>>>
>>> myClass$methods(setPar = function(extValue = 1, ...){
>>>
>>>    value<<- extValue
>>>
>>>    return()
>>> })
>>>
>>> newObject = myClass$new()
>>> newObject$setPar(extValue = 2)
>>> copyObject = newObject$copy()
>>>
>>>
>>> It works fine.
>>>
>>> Anyway I am curious to know if there is any way to use the initialize
>>> method with arguments that is not a problem with copy().
>>
>> Hi Aleix --
>>
>>  From ?setRefClass
>>
>>           Initialization methods
>>           need some care in design, as they do for S4 classes. In
>>           particular, remember that others may subclass your class and
>>           pass through field assignments or other arguments.
>>           Therefore, your method should normally include ... as an
>>           argument, all other arguments should have defaults or check
>>           for missingness, and your method should pass all initialized
>>           values on via '$callSuper()' or '$initFields()' if you know
>>           that your superclasses have no initialization methods.
>>
>> so it sounds like your initialize method arguments are expected to have
>> default values. My preferred signature would place the '...' first, so that
>> unnamed arguments (super-classes) are not unintentionally matched to named
>> arguments.
>>
>> Martin
>>
>>>
>>>
>>> Thank!
>>>
>>> Aleix Ruiz de Villa
>>>
>>> ______________________________________________
>>> R-devel at r-project.org mailing list
>>> https://stat.ethz.ch/mailman/listinfo/r-devel
>>
>>
>> --
>> Computational Biology
>> Fred Hutchinson Cancer Research Center
>> 1100 Fairview Ave. N. PO Box 19024 Seattle, WA 98109
>>
>> Location: M1-B861
>> Telephone: 206 667-2793
>>


-- 
Computational Biology
Fred Hutchinson Cancer Research Center
1100 Fairview Ave. N. PO Box 19024 Seattle, WA 98109

Location: M1-B861
Telephone: 206 667-2793



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