james.foadi at diamond.ac.uk
2012-Feb-14 16:43 UTC
[Rd] method using several (and different) arguments in turn
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? J -- This e-mail and any attachments may contain confidential...{{dropped:8}}
Martin Morgan
2012-Feb-14 17:00 UTC
[Rd] method using several (and different) arguments in turn
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 Fred Hutchinson Cancer Research Center 1100 Fairview Ave. N. PO Box 19024 Seattle, WA 98109 Location: M1-B861 Telephone: 206 667-2793