| is {methods} | R Documentation |
Is an Object from a Class
Description
is:
With two arguments, tests whether object can be treated as from
class2.
With one argument, returns all the super-classes of this object's class.
extends:
Does the first class extend the second class?
Returns maybe if the extension includes a test.
setIs:
Defines class1 to be an extension of class2.
Usage
is(object, class2)
extends(class1, class2, maybe=TRUE)
setIs(class1, class2, test=NULL, coerce=NULL, replace=NULL,
by = NULL, where = 1, classDef)
Arguments
object |
Any R object. |
class1, class2 |
The names of the classes between which |
maybe |
What value to return if the relationship is conditional. |
test, coerce, replace |
Functions optionally supplied to test whether the relation is
defined, to coerce the object to |
by |
The name of an intermediary class. Coercion will proceed by first coercing to this class and from there to the target class. (The intermediate coercions have to be valid.) |
where |
Where to store the metadata defining the relationship. Default is the global environment. |
classDef |
Optional class definition for |
Details
setIs:
The relationship can be conditional, if a function is supplied as the
test argument. If a function is supplied as the coerce
argument, this function will be applied to any class1 object in
order to turn it into a class2 object. If the relationship is
to be defined indirectly through a third class, this class can be
named in the by argument.
Extension may imply that a class1 object contains a
class2 object. The default sense of containing is that all the
slots of the simpler class are found in the more elaborate one. If
the replace argument is supplied as an S replacement function,
this function will be used to implement as(obj, class2) <- value.
The coerce, replace, and by arguments behave as
described for the setAs function. It's unlikely you
would use the by argument directly, but it is used in defining
cached information about classes. The value returned (invisibly) by
setIs is the extension information, as a list.
Information about setIs relations can be stored in the metadata
for either class1 (in the extends information) or in the
metadata for class2 (in the subclasses information). For
the information to be retained for a future session, one of these
classes must be defined in the global environment, since only objects
assigned there are saved by save.image. If neither
class is defined in environment where, setIs generates
an error.
Because only global environment information is saved, it rarely makes
sense to give a value other than the default for argument
where. One exception is where=0, which modifies the
cached (i.e., session-scope) information about the class. Class
completion computations use this version, but don't use it yourself
unless you are quite sure you know what you're doing.
References
The R package methods implements, with a few exceptions, the
programming interface for classes and methods in the book
Programming with Data (John M. Chambers, Springer, 1998), in
particular sections 1.6, 2.7, 2.8, and chapters 7 and 8.
While the programming interface for the methods package follows the reference, the R software is an original implementation, so details in the reference that reflect the S4 implementation may appear differently in R. Also, there are extensions to the programming interface developed more recently than the reference. For a discussion of details and ongoing development, see the web page http://developer.r-project.org/methodsPackage.html and the pointers from that page.
Examples
## a class definition (see \link{setClass} for the example)
setClass("trackCurve",
representation("track", smooth = "numeric"))
## A class similar to "trackCurve", but with different structure
## allowing matrices for the "y" and "smooth" slots
setClass("trackMultiCurve",
representation(x="numeric", y="matrix", smooth="matrix"),
prototype = structure(list(), x=numeric(), y=matrix(0,0,0),
smooth= matrix(0,0,0)))
## Automatically convert an object from class "trackCurve" into
## "trackMultiCurve", by making the y, smooth slots into 1-column matrices
setIs("trackCurve",
"trackMultiCurve",
coerce = function(obj) {
new("trackMultiCurve",
x = obj@x,
y = as.matrix(obj@y),
curve = as.matrix(obj@smooth))
},
replace = function(obj, value) {
obj@y <- as.matrix(value@y)
obj@x <- value@x
obj@smooth <- as.matrix(value@smooth)
obj})
## Automatically convert the other way, but ONLY
## if the y data is one variable.
setIs("trackMultiCurve",
"trackCurve",
test = function(obj) {ncol(obj@y) == 1},
coerce = function(obj) {
new("trackCurve",
x = slot(obj, "x"),
y = as.numeric(obj@y),
smooth = as.numeric(obj@smooth))
},
replace = function(obj, value) {
obj@y <- matrix(value@y, ncol=1)
obj@x <- value@x
obj@smooth <- value@smooth
obj})