[Rd] method using several (and different) arguments in turn
Martin Morgan
mtmorgan at fhcrc.org
Tue Feb 14 18:00:04 CET 2012
On 02/14/2012 08:43 AM, james.foadi at diamond.ac.uk wrote:
> Dear R-developers community, I have the following generic:
>
> setGeneric(
> name="newsample",
> def=function(x,y,z,a,b,c,...){standardGeneric("newsample")}
>
> And I can build several methods for this generic. One useful thing is to use "newsample"
> with only one of the 6 arguments listed. At the moment this is what I do:
>
> setMethod(
> f="newsample",
> signature=c("missing","missing","numeric","missing","missing","missing"),
> function(x,y,z,a,b,c,...)
> {
> ..............................
> ..............................
>
> }
> )
>
> This would be used when the single argument is z:
>
> newsample(z=12.5)
>
> To use newsample with another argument (say x) I should implement the same as before,
> but with signature c("numeric","missing","missing","missing","missing","missing").
> Is there another shorter and easier way to do this?
Hi James --
A matter of opinion, but multiple dispatch like this can be very
complicated, e.g., figuring out the 'next' method when dispatching on
two or more arguments; I'd really discourage it.
A different approach, assuming that x, y, z, ... are all numeric() but
that the sample to be drawn differs, is to define a small class
hierarchy to be used for dispatch.
setClass("TypeOfSample")
setClass("XSample", contains="TypeOfSample")
XSample <- new("XSample") ## a 'singleton', used for dispatch
setClass("YSample", contains="TypeOfSample")
YSample <- new("YSample")
and then
setGeneric("newsample",
function(type, x=numeric(), ...) standardGeneric("newsample"),
signature="type")
setMethod("newsample", "XSample", function(type, x=numeric(), ...) {
"XSample"
})
setMethod("newsample", "YSample", function(type, x=numeric(), ...) {
"YSample"
})
One could implement a default method on "TypeOfSample", and use
callNextMethod() after initial transformation, if that were the pattern.
To use:
newsample(XSample, x=1:100)
Martin
>
>
> J
>
--
Computational Biology
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