UseMethod {base} | R Documentation

## Class Methods

### Description

R possesses a simple generic function mechanism which can be used for an object-oriented style of programming. Method dispatch takes place based on the class(es) of the first argument to the generic function or of the object supplied as an argument to `UseMethod` or `NextMethod`.

### Usage

    UseMethod(generic, object)

    NextMethod(generic = NULL, object = NULL, ...)

### Arguments

`generic` | a character string naming a function (and not a built-in operator). Required for `UseMethod`.
`object` | for `UseMethod`: an object whose class will determine the method to be dispatched. Defaults to the first argument of the enclosing function.
`...` | further arguments to be passed to the next method.

### Details

An R object is a data object which has a `class` attribute (and this can be tested by `is.object`). A class attribute is a character vector giving the names of the classes from which the object inherits. If the object does not have a class attribute, it has an implicit class. Matrices and arrays have class `"matrix"` or`"array"` followed by the class of the underlying vector. Most vectors have class the result of `mode(x)`, except that integer vectors have class `c("integer", "numeric")` and real vectors have class `c("double", "numeric")`.

When a function calling `UseMethod("fun")` is applied to an object with class attribute `c("first", "second")`, the system searches for a function called `fun.first` and, if it finds it, applies it to the object. If no such function is found a function called `fun.second` is tried. If no class name produces a suitable function, the function `fun.default` is used, if it exists, or an error results.

Function `methods` can be used to find out about the methods for a particular generic function or class.

`UseMethod` is a primitive function but uses standard argument matching. It is not the only means of dispatch of methods, for there are internal generic and group generic functions. `UseMethod` currently dispatches on the implicit class even for arguments that are not objects, but the other means of dispatch do not.

`NextMethod` invokes the next method (determined by the class vector, either of the object supplied to the generic, or of the first argument to the function containing `NextMethod` if a method was invoked directly). Normally `NextMethod` is used with only one argument, `generic`, but if further arguments are supplied these modify the call to the next method.

`NextMethod` should not be called except in methods called by `UseMethod` or from internal generics (see InternalGenerics). In particular it will not work inside anonymous calling functions (e.g., `get("print.ts")(AirPassengers)`).

Namespaces can register methods for generic functions. To support this, `UseMethod` and `NextMethod` search for methods in two places: in the environment in which the generic function is called, and in the registration data base for the environment in which the generic is defined (typically a namespace). So methods for a generic function need to be available in the environment of the call to the generic, or they must be registered. (It does not matter whether they are visible in the environment in which the generic is defined.) As from R 3.5.0, the registration data base is searched after the top level environment (see `topenv`) of the calling environment (but before the parents of the top level environment).

### Technical Details

Now for some obscure details that need to appear somewhere. These comments will be slightly different than those in Chambers(1992). (See also the draft ‘R Language Definition’.) `UseMethod` creates a new function call with arguments matched as they came in to the generic. Any local variables defined before the call to `UseMethod` are retained (unlike S). Any statements after the call to `UseMethod` will not be evaluated as `UseMethod` does not return. `UseMethod` can be called with more than two arguments: a warning will be given and additional arguments ignored. (They are not completely ignored in S.) If it is called with just one argument, the class of the first argument of the enclosing function is used as `object`: unlike S this is the first actual argument passed and not the current value of the object of that name.

`NextMethod` works by creating a special call frame for the next method. If no new arguments are supplied, the arguments will be the same in number, order and name as those to the current method but their values will be promises to evaluate their name in the current method and environment. Any named arguments matched to `...` are handled specially: they either replace existing arguments of the same name or are appended to the argument list. They are passed on as the promise that was supplied as an argument to the current environment. (S does this differently!) If they have been evaluated in the current (or a previous environment) they remain evaluated. (This is a complex area, and subject to change: see the draft ‘R Language Definition’.)

The search for methods for `NextMethod` is slightly different from that for `UseMethod`. Finding no `fun.default` is not necessarily an error, as the search continues to the generic itself. This is to pick up an internal generic like `[` which has no separate default method, and succeeds only if the generic is a primitive function or a wrapper for a `.Internal` function of the same name. (When a primitive is called as the default method, argument matching may not work as described above due to the different semantics of primitives.)

You will see objects such as `.Generic`, `.Method`, and `.Class` used in methods. These are set in the environment within which the method is evaluated by the dispatch mechanism, which is as follows:

1. Find the context for the calling function (the generic): this gives us the unevaluated arguments for the original call.

2. Evaluate the object (usually an argument) to be used for dispatch, and find a method (possibly the default method) or throw an error.

3. Create an environment for evaluating the method and insert special variables (see below) into that environment. Also copy any variables in the environment of the generic that are not formal (or actual) arguments.

4. Fix up the argument list to be the arguments of the call matched to the formals of the method.

`.Generic` is a length-one character vector naming the generic function.

`.Method` is a character vector (normally of length one) naming the method function. (For functions in the group generic `Ops` it is of length two.)

`.Class` is a character vector of classes used to find the next method. `NextMethod` adds an attribute `"previous"` to `.Class` giving the `.Class` last used for dispatch, and shifts `.Class` along to that used for dispatch.

`.GenericCallEnv` and `.GenericDefEnv` are the environments of the call to be generic and defining the generic respectively. (The latter is used to find methods registered for the generic.)

Note that `.Class` is set when the generic is called, and is unchanged if the class of the dispatching argument is changed in a method. It is possible to change the method that `NextMethod` would dispatch by manipulating `.Class`, but ‘this is not recommended unless you understand the inheritance mechanism thoroughly’ (Chambers & Hastie, 1992, p. 469).

### Note

This scheme is called S3 (S version 3). For new projects, it is recommended to use the more flexible and robust S4 scheme provided in the methods package.

### References

Chambers, J. M. (1992) Classes and methods: object-oriented programming in S. Appendix A of Statistical Models in S eds J. M. Chambers and T. J. Hastie, Wadsworth & Brooks/Cole.

### See Also

The draft ‘R Language Definition’.

`methods`, `class`, `getS3method`, `is.object`.

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