setGeneric | R Documentation |
Create a generic version of the named function so that methods may
be defined for it. A call to setMethod
will call
setGeneric
automatically if applied to a non-generic
function.
An explicit call to setGeneric
is usually not required, but
doesn't hurt and makes explicit that methods are being defined for a
non-generic function.
Standard calls will be of the form:
setGeneric(name)
where name
specifies an existing function, possibly in another
package. An alternative when creating a new generic function in this package is:
setGeneric(name, def)
where the function definition def
specifies the formal
arguments and becomes the default method.
setGeneric(name, def= , group=list(), valueClass=character(), where= , package= , signature= , useAsDefault= , genericFunction= , simpleInheritanceOnly = )
name |
The character string name of the generic function. |
def |
An optional function object, defining the non-generic
version, to become the default method. This is equivalent in
effect to assigning The following arguments are specialized, optionally used when creating a new generic function with non-standard features. They should not be used when the non-generic is in another package. |
group |
The name of the group generic function to which this function belongs. See Methods_Details for details of group generic functions in method selection and S4groupGeneric for existing groups. |
valueClass |
A character vector specifying one or more class names. The value returned by the generic function must have (or extend) this class, or one of the classes; otherwise, an error is generated. |
signature |
The vector of names from among the formal arguments to
the function, that will be allowed in the signature of methods for this
function, in calls to A non-standard signature for the generic function may be used to exclude arguments that take advantage of lazy evaluation; in particular, if the argument may not be evaluated then it cannot be part of the signature. While It's usually a mistake to omit arguments from the signature in the belief that this improves efficiency. For method selection, the arguments that are used in the signatures for the methods are what counts, and then only seriously on the first call to the function with that combination of classes. |
simpleInheritanceOnly |
Supply this argument as |
useAsDefault |
Override the usual default method mechanism. Only relevant when defining a nonstandard generic function. See the section ‘Specialized Local Generics’. The remaining arguments are obsolete for normal applications. |
package |
The name of the package with which this function is associated. Should be determined automatically from the non-generic version. |
where |
Where to store the resulting objects as side effects. The default, to store in the package's namespace, is the only safe choice. |
genericFunction |
Obsolete. |
The setGeneric
function exists for its side effect: saving the
generic function to allow methods to be specified later. It returns
name
.
The setGeneric
function is called to initialize a generic
function as preparation for defining some methods for that function.
The simplest and most common situation is that name
specifies
an existing function, usually in another package. You now want to
define methods for this function. In this case you should
supply only name
, for example:
setGeneric("colSums")
There must be an existing function of this name (in this case in
package "base"
). The non-generic function can be in the same
package as the call, typically the case when you are creating a new
function plus methods for it. When the function is in
another package, it must be available by name, for
example through an importFrom()
directive in this package's
NAMESPACE
file. Not required for functions in "base"
,
which are implicitly imported.
A generic version of
the function will be created in the current package. The existing function
becomes the default method, and the package slot of the new generic
function is set to the location of the original function
("base"
in the example).
Two special types of non-generic should be noted.
Functions that dispatch S3 methods by calling
UseMethod
are ordinary functions, not objects from the
"genericFunction"
class. They are made generic like any
other function, but some special considerations apply to ensure that
S4 and S3 method dispatch is consistent (see Methods_for_S3).
Primitive functions are handled in C code and don't exist as normal
functions.
A call to setGeneric
is allowed in the simple form, but no
actual generic function object is created. Method dispatch will
take place in the C code. See the section on Primitive Functions for
more details.
It's an important feature that the
identical generic function definition is created in every package that
uses the same setGeneric()
call.
When any of these packages is loaded into an R session, this
function will be added to a table of generic functions, and will
contain a methods table of all the available methods for the
function.
Calling setGeneric()
is not strictly
necessary before calling setMethod()
. If
the function specified in the call to setMethod
is not generic,
setMethod
will execute the call to setGeneric
itself.
In the case that the non-generic is in another package, does not
dispatch S3 methods and is not a primitive, a message is printed noting the
creation of the generic function the first time setMethod
is called.
The second common use of setGeneric()
is to create a new
generic function, unrelated to any existing function. See the
asRObject()
example below.
This case can be handled just like the previous examples, with only
the difference that the non-generic function exists in the
current package.
Again, the non-generic version becomes the default method.
For clarity it's best for the assignment to immediately precede the
call to setGeneric()
in the source code.
Exactly the same result can be obtained by supplying the default as
the def
argument instead of assigning it.
In some applications, there will be no completely general default
method. While there is a special mechanism for this (see the
‘Specialized Local Generics’ section), the recommendation is to provide a
default method that signals an error, but with a message that
explains as clearly as you can why a non-default method is needed.
The great majority of calls to setGeneric()
should either
have one argument to ensure that an existing function can have
methods, or arguments name
and def
to create a new
generic function and optionally a default method.
It is possible to create generic functions with nonstandard signatures, or functions that do additional computations besides method dispatch or that belong to a group of generic functions.
None of these mechanisms should be used with a non-generic function from a different package, because the result is to create a generic function that may not be consistent from one package to another. When any such options are used, the new generic function will be assigned with a package slot set to the current package, not the one in which the non-generic version of the function is found.
There is a mechanism to define a specialized generic version of a
non-generic function, the implicitGeneric
construction.
This defines the generic version, but then reverts the function to
it non-generic form, saving the implicit generic in a table to be
activated when methods are defined.
However, the mechanism can only legitimately be used either for a non-generic
in the same package or by the "methods"
package itself.
And in the first case, there is no compelling reason not to simply
make the function generic, with the non-generic as the default
method.
See implicitGeneric
for details.
The body of a generic function usually does nothing except for
dispatching methods by a call to standardGeneric
. Under some
circumstances you might just want to do some additional computation in
the generic function itself. As long as your function eventually
calls standardGeneric
that is permissible.
See the example "authorNames"
below.
In this case, the def
argument will define the nonstandard
generic, not the default method.
An existing non-generic of the same name and calling sequence should
be pre-assigned. It will become the default method, as usual.
(An alternative is the useAsDefault
argument.)
By default, the generic function can return any object. If
valueClass
is supplied, it should be a vector of class names;
the value returned by a method is then required to satisfy
is(object, Class)
for one of the specified classes. An empty
(i.e., zero length) vector of classes means anything is allowed. Note
that more complicated requirements on the result can be specified
explicitly, by defining a non-standard generic function.
If the def
argument calls standardGeneric()
(with or
without additional computations) and there is no existing
non-generic version of the function, the generic is created without
a default method. This is not usually a good idea: better to have a
default method that signals an error with a message explaining why
the default case is not defined.
A new generic function can be created belonging to an existing group
by including the group
argument. The argument list of the
new generic must agree with that of the group. See
setGroupGeneric
for defining a new group generic.
For the role of group generics in
dispatching methods, see GroupGenericFunctions and section
10.5 of the second reference.
A number of the basic R functions are specially implemented as
primitive functions, to be evaluated directly in the underlying C code
rather than by evaluating an R language definition. Most have
implicit generics (see implicitGeneric
), and become
generic as soon as methods (including group methods) are defined on
them. Others cannot be made generic.
Calling setGeneric()
for
the primitive functions in the base package differs in that it does not, in fact,
generate an explicit generic function.
Methods for primitives are selected and dispatched from
the internal C code, to satisfy concerns for efficiency.
The same is true for a few
non-primitive functions that dispatch internally. These include
unlist
and as.vector
.
Note, that the implementation restrict methods for primitive functions to signatures in which at least one of the classes in the signature is a formal S4 class. Otherwise the internal C code will not look for methods. This is a desirable restriction in principle, since optional packages should not be allowed to change the behavior of basic R computations on existing data types.
To see the generic version of a primitive function, use
getGeneric(name)
. The function
isGeneric
will tell you whether methods are defined
for the function in the current session.
Note that S4 methods can only be set on those primitives which are
‘internal generic’, plus %*%
.
Chambers, John M. (2016) Extending R, Chapman & Hall. (Chapters 9 and 10.)
Chambers, John M. (2008) Software for Data Analysis: Programming with R Springer. (Section 10.5 for some details.)
Methods_Details
and the links there for a general discussion,
dotsMethods
for methods that dispatch on
...
, and setMethod
for method definitions.
## Specify that this package will define methods for plot() setGeneric("plot") ## create a new generic function, with a default method setGeneric("props", function(object) attributes(object)) ### A non-standard generic function. It insists that the methods ### return a non-empty character vector (a stronger requirement than ### valueClass = "character" in the call to setGeneric) setGeneric("authorNames", function(text) { value <- standardGeneric("authorNames") if(!(is(value, "character") && any(nchar(value)>0))) stop("authorNames methods must return non-empty strings") value }) ## the asRObject generic function, from package XR ## Its default method just returns object ## See the reference, Chapter 12 for methods setGeneric("asRObject", function(object, evaluator) { object })
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