A regular (S4) class may contain an S3 class, if that class has been registered (by calling
  setOldClass).  The functions described here provide
  information about contained S3 classes.  See the section ‘Functions’.
In modern R, these functions are not usually needed to program with objects from the S4 class. Standard computations work as expected, including method selection for both S4 and S3. To coerce an object to its contained S3 class, use either of the expressions:
as(object, S3Class); as(object, "S3")
where
  S3Class evaluates to the name of the contained class.  These
  return slightly different objects, which in rare cases may need to
  be distinguished.  See the section “Contained S3 Objects”.
S3Part(object, strictS3 = FALSE, S3Class)S3Class(object)
isXS3Class(classDef)
slotsFromS3(object)
## the replacement versions of the functions are not recommended
## Create a new object from the class or use the replacement version of as().
S3Part(object, strictS3 = FALSE, needClass = ) <- value
S3Class(object) <-  value
an object from some class that extends a registered S3 class, or a basic vector, matrix or array object type.
For most of the functions, an S3 object can also be supplied, with the interpretation that it is its own S3 part.
If TRUE, the value returned by
    S3Part will be an S3 object, with all the S4 slots
    removed.  Otherwise, an S4 object will always
    be returned; for example, from the S4 class created by
    setOldClass as a proxy for an S3 class, rather than
    the underlying S3 object.
the character vector to be stored as the
    S3 class slot in the object.  Usually, and by default, retains
    the slot from object, but an S3 superclass is allowed.
a class definition object, as returned by
    getClass.
The remaining arguments apply only to the replacement versions, which are not recommended.
Require that the replacement value be this class or a subclass of it.
For S3Part<-, the replacement value for the
    S3 part of the object.
For S3Class<-, the character vector that will be used as
    a proxy for class(x) in S3 method dispatch.
S3Part:  Returns an object from the S3 class that appeared
   in the contains= argument to setClass.
If called with strictS3 = TRUE, S3Part() constructs the underlying
  S3 object by eliminating
  all the formally defined slots and turning off the S4 bit of the
  object.  With strictS3 = FALSE the object returned is from
  the corresponding S4 class.  For consistency and generality,
  S3Part() works also for classes that extend the basic vector,
  matrix and array classes.
A call to is equivalent coercing the object to class "S3" for
  the strict case, or to whatever the specific S3 class was, for the
  non-strict case.  The as() calls are usually easier for
  readers to understand.
S3Class:  Returns the character vector of S3 class(es) stored in
  the object, if the class has the corresponding .S3Class slot.
  Currently, the function defaults to class otherwise.
isXS3Class: Returns TRUE or FALSE according
    to whether the class defined by ClassDef
    extends S3 classes (specifically, whether it has the slot for
    holding the S3 class).
slotsFromS3: returns a list of the relevant slot classes, or an
empty list for any other object.
The function slotsFromS3() is a generic function used
  internally to access the slots associated with the S3 part of the
  object.  Methods for this function are created automatically when
  setOldClass is called with the S4Class
  argument.  Usually, there is only one S3 slot, containing the S3
  class, but the S4Class argument may provide additional slots,
  in the case that the S3 class has some guaranteed attributes that
  can be used as formal S4 slots.  See the corresponding section in
  the documentation of setOldClass.
Registering an S3 class defines an S4 class.  Objects from this
  class are essentially identical in content to an object from the S3
  class, except for two differences.  The value returned by
  class() will always be a single string for the S4
  object, and isS4() will return TRUE or
  FALSE in the two cases.  See the example below.  It is barely
  possible that some S3 code will not work with the S4 object; if so,
  use as(x, "S3").
Objects from a class that extends an S3 class will have some basic type and
  possibly some attributes.  For an S3 class that has an equivalent S4
  definition (e.g., "data.frame"), an extending S4 class will
  have a data part and slots.  For other S3 classes (e.g., "lm") an
  object from the extending S4 class will be some sort of basic type,
  nearly always a vector type (e.g., "list" for "lm"),
  but the data part will not have a formal definition.
Registering an S3 class by a call to
  setOldClass creates a class of the same name with a slot ".S3Class" to hold
  the corresponding S3 vector of class strings.
  New S4 classes that extend such
  classes also have the same slot, set to the S3 class of the
  contained S3 object,
  which may be  an
  (S3) subclass of the registered class.
  For example, an S4 class might contain the S3 class "lm", but
  an object from the class might contain an object from class
  "mlm", as in the "xlm"example below.
R is somewhat arbitrary about what
  it treats as an S3 class: "ts" is, but "matrix" and "array"
  are not.
  For classes that extend
  those, assuming they contain an S3 class is incorrect and will cause some
  confusion---not usually disastrous, but the better strategy
  is to stick to the explicit “class”.
  Thus as(x, "matrix") rather than as(x, "S3") or S3Part(x).
Objects in R have an internal bit that indicates whether or not to
  treat the object as coming from an S4 class.  This bit is tested by
  isS4 and can be set on or off by asS4.
  The latter function, however, does no checking or interpretation;
  you should only use it if you are very certain every detail has been
  handled correctly.
As a friendlier alternative, methods have been defined for coercing
  to the virtual classes "S3" and "S4".  The expressions
  as(object, "S3")  and as(object, "S4")  return S3
  and S4 objects, respectively.  In addition, they attempt
  to do conversions in a valid way, and also check validity when
  coercing to S4.
The expression as(object, "S3") can be used in two ways.  For
  objects from one of the registered S3 classes, the expression will
  ensure that the class attribute is the full multi-string S3 class
  implied by class(object).  If the registered class has known
  attribute/slots, these will also be provided.
Another use of  as(object, "S3")  is to take an S4 object and
  turn it into an S3 object with corresponding attributes.  This is
  only meaningful with S4 classes that have a data part.  If you want
  to operate on the object without invoking S4 methods, this
  conversion is usually the safest way.
The expression  as(object, "S4") will use the attributes in
  the object to create an object from the S4 definition of
  class(object). This is a general mechanism to create
  partially defined version of S4 objects via S3 computations  (not
  much different from invoking new with corresponding
  arguments, but usable in this form even if the S4 object has an
  initialize method with different arguments).
Chambers, John M. (2016) Extending R, Chapman & Hall. (Chapters 9 and 10, particularly Section 10.8)
# NOT RUN {
## an "mlm" object, regressing two variables on two others
sepal <- as.matrix(datasets::iris[,c("Sepal.Width", "Sepal.Length")])
fit <- lm(sepal ~ Petal.Length + Petal.Width + Species, data = datasets::iris)
class(fit) # S3 class: "mlm", "lm"
## a class that contains "mlm"
myReg <- setClass("myReg", slots = c(title = "character"), contains = "mlm")
fit2 <- myReg(fit, title = "Sepal Regression for iris data")
fit2 # shows the inherited "mlm" object and the title
identical(S3Part(fit2), as(fit2, "mlm"))
class(as(fit2, "mlm")) # the S4 class, "mlm"
class(as(fit2, "S3")) # the S3 class, c("mlm", "lm")
## An object may contain an S3 class from a subclass of that declared:
xlm <- setClass("xlm", slots = c(eps = "numeric"), contains = "lm")
xfit <- xlm(fit, eps = .Machine$double.eps)
xfit@.S3Class # c("mlm", lm")
# }
Run the code above in your browser using DataLab