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', 'Class' etc.?
> methods("as")
> as.data.frame
I have to admit that I'm not really familiar with the S3 style of
defining methods as I have been coding in S4 a lot, but my first attempt
was to write something like this:
as.myClass <- function(x, ...){
if(is(x, "data.frame"){
x <- as.list(x)
}
if(is(x, "character"){
x <- as.list(x)
}
...
out <- getRefClass("myClass")$new(X=x)
return(out)
}
But that way I'd have to explicitly call 'as.myClass(x)' whereas I'd
simply like to type 'as(x, "myClass")'.
Also, how is it possible to have method dispatch recognize two
signature arguments in S3? I.e., how can I define something like
'as.data.frame.character' in order to have explicit "sub" methods for
all the data types of 'x' so I wouldn't have to process them all in the
definition of 'as.myClass' as I did above?
Thanks for your help,
Janko
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