Types and classes of variables
Two R questions:
- What is the difference between the type (returned by
typeof
) and the class (returned byclass
) of a variable? Is the difference similar to that in, say, C++ language? - What are possible types and classes of variables?
Solution 1:
In R every "object" has a mode
and a class
. The former represents how an object is stored in memory (numeric, character, list and function) while the later represents its abstract type. For example:
d <- data.frame(V1=c(1,2))
class(d)
# [1] "data.frame"
mode(d)
# [1] "list"
typeof(d)
# list
As you can see data frames are stored in memory as list
but they are wrapped into data.frame
objects. The latter allows for usage of member functions as well as overloading functions such as print
with a custom behavior.
typeof
(storage.mode
) will usually give the same information as mode
but not always. Case in point:
typeof(c(1,2))
# [1] "double"
mode(c(1,2))
# [1] "numeric"
The reasoning behind this can be found here:
The R specific function typeof returns the type of an R object
Function mode gives information about the mode of an object in the sense of Becker, Chambers & Wilks (1988), and is more compatible with other implementations of the S language
The link that I posted above also contains a list of all native R basic types
(vectors, lists etc.) and all compound objects
(factors and data.frames) as well as some examples of how mode
, typeof
and class
are related for each type.
Solution 2:
type
really refers to the different data structures available in R. This discussion in the R Language Definition manual may get you started on objects and types.
On the other hand, class
means something else in R than what you may expect. From
the R Language Definition manual (that came with your version of R):
2.2.4 Classes
R has an elaborate class system1, principally controlled via the class attribute. This attribute is a character vector containing the list of classes that an object inherits from. This forms the basis of the “generic methods” functionality in R.
This attribute can be accessed and manipulated virtually without restriction by users. There is no checking that an object actually contains the components that class methods expect. Thus, altering the class attribute should be done with caution, and when they are available specific creation and coercion functions should be preferred.