| new {methods} | R Documentation |
Given the name or the definition of a class, plus optionally data
to be included in the object, new returns an object from that
class.
new(Class, ...) initialize(.Object, ...)
Class |
Either the name of a class (the usual case) or the
object describing the class (e.g., the value returned by
getClass). |
... |
Data to include in the new object. Named arguments correspond to slots in the class definition. Unnamed arguments must be objects from classes that this class extends. |
.Object |
An object: see the Details section. |
The function new begins by copying the prototype object from
the class definition. Then information is inserted according to the
... arguments, if any. As of version 2.4 of R, the type of
the prototype object, and therefore of all objects returned by
new(), is "S4" except for classes that extend
one of the basic types, where the prototype has that basic type. User
functions that depend on typeof(object) should be
careful to handle "S4" as a possible type.
The interpretation of the ... arguments can be specialized to
particular classes, if an appropriate method has been defined for the
generic function "initialize". The new function calls
initialize with the object generated from the prototype as the
.Object argument to initialize.
By default, unnamed arguments in the ... are interpreted as
objects from a superclass, and named arguments are interpreted as
objects to be assigned into the correspondingly named slots. Thus,
explicit slots override inherited information for the same slot,
regardless of the order in which the arguments appear.
The initialize methods do not have to have ... as
their second argument (see the examples), and generally it is better
design not to have ... as a formal argument, if only a
fixed set of arguments make sense.
For examples of initialize methods, see
initialize-methods for existing methods for
classes "traceable" and "environment", among others.
Note that the basic vector classes, "numeric", etc. are
implicitly defined, so one can use new for these classes.
The functions in this package emulate the facility for classes and methods described in Programming with Data (John M. Chambers, Springer, 1998). See this book for further details and examples.
## using the definition of class "track" from Classes
## a new object with two slots specified
t1 <- new("track", x = seq(along=ydata), y = ydata)
# a new object including an object from a superclass, plus a slot
t2 <- new("trackCurve", t1, smooth = ysmooth)
### define a method for initialize, to ensure that new objects have
### equal-length x and y slots.
setMethod("initialize",
"track",
function(.Object, x = numeric(0), y = numeric(0)) {
if(nargs() > 1) {
if(length(x) != length(y))
stop("specified x and y of different lengths")
.Object@x <- x
.Object@y <- y
}
.Object
})
### the next example will cause an error (x will be numeric(0)),
### because we didn't build in defaults for x,
### although we could with a more elaborate method for initialize
try(new("track", y = sort(rnorm(10))))
## a better way to implement the previous initialize method.
## Why? By using callNextMethod to call the default initialize method
## we don't inhibit classes that extend "track" from using the general
## form of the new() function. In the previous version, they could only
## use x and y as arguments to new, unless they wrote their own
## intialize method.
setMethod("initialize", "track", function(.Object, ...) {
.Object <- callNextMethod()
if(length(.Object@x) != length(.Object@y))
stop("specified x and y of different lengths")
.Object
})