| set.func-class {kappalab} | R Documentation |
Class "set.func"
Description
Class representing a set function.
Objects from the Class
Objects can be created by calls to the function set.func.
Slots
n:Object of class
numericof length 1 equal to the number of elements of the set on which the set function is defined.subsets:Object of class
numericof length2^ncontaining the power set of the underlying set in "natural" order. The subsets are coded as integers.data:Object of class
numericof length2^ncontaining the coefficients of the set function in binary order.
Extends
Class superclass.set.func, directly.
Methods
- show
signature(object = "set.func")- as.game
signature(object = "set.func")- as.capacity
signature(object = "set.func")- as.card.set.func
signature(object = "set.func")- as.Mobius.set.func
signature(object = "set.func")- as.Mobius.card.set.func
signature(object = "set.func")- conjugate
signature(object = "set.func")- interaction.indices
signature(object = "set.func")- is.cardinal
signature(object = "set.func")- is.kadditive
signature(object = "set.func", k = "numeric")- is.monotone
signature(object = "set.func")- k.truncate.Mobius
signature(object = "set.func", k = "numeric")- Mobius
signature(object = "set.func")- Shapley.value
signature(object = "set.func")- to.data.frame
signature(object = "set.func")
See Also
set.func,
as.game-methods,
as.capacity-methods,
as.card.set.func-methods,
as.Mobius.set.func-methods,
as.Mobius.card.set.func-methods,
conjugate-methods,
interaction.indices-methods,
is.cardinal-methods,
is.kadditive-methods,
is.monotone-methods,
k.truncate.Mobius-methods,
Mobius-methods,
Shapley.value-methods,
to.data.frame-methods.
Examples
## a set function
mu <- set.func(c(1:8,8:1)/8)
## the attributes of the object
mu@n
mu@data
mu@subsets
## some conversions that cannot work
## Not run: as.game(mu)
## Not run: as.capacity(mu)
## Not run: as.card.set.func(mu)
## some tests
is.cardinal(mu)
is.kadditive(mu,2)
is.monotone(mu)
## some transformations
conjugate(mu)
Mobius(mu)
k.truncate.Mobius(mu,2)
## summary
Shapley.value(mu)
interaction.indices(mu)
# the same
summary(mu)
## save the set function to a file
d <- to.data.frame(mu)
## Not run: write.table(d,"my.set.func.csv",sep="\t")
# finally, some conversions that should work
mu <- set.func(c(0,1,1,1,2,2,2,3))
as.game(mu)
as.capacity(mu)
as.card.set.func(mu)