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Assuming that the fuzzy values are probabilities, calculates the probability of being of different sizes for a given set.
element_size(object, elements = NULL)# S4 method for TidySet element_size(object, elements = NULL)
# S4 method for TidySet element_size(object, elements = NULL)
A TidySet object.
The element from which the length is calculated.
A list with the size of the elements or the probability of having that size.
TidySet: Calculates the number of sets an element appears with length_set()
TidySet
length_set()
cardinality
Other sizes: set_size()
set_size()
Other methods: TidySet-class, activate(), add_column(), add_relation(), arrange.TidySet(), cartesian(), complement_element(), complement_set(), complement(), elements(), filter.TidySet(), group_by.TidySet(), group(), incidence(), intersection(), is.fuzzy(), is_nested(), move_to(), mutate.TidySet(), nElements(), nRelations(), nSets(), name_elements<-(), name_sets<-(), name_sets(), power_set(), pull.TidySet(), relations(), remove_column(), remove_element(), remove_relation(), remove_set(), rename_elements(), rename_set(), select.TidySet(), set_size(), sets(), subtract(), union()
TidySet-class
activate()
add_column()
add_relation()
arrange.TidySet()
cartesian()
complement_element()
complement_set()
complement()
elements()
filter.TidySet()
group_by.TidySet()
group()
incidence()
intersection()
is.fuzzy()
is_nested()
move_to()
mutate.TidySet()
nElements()
nRelations()
nSets()
name_elements<-()
name_sets<-()
name_sets()
power_set()
pull.TidySet()
relations()
remove_column()
remove_element()
remove_relation()
remove_set()
rename_elements()
rename_set()
select.TidySet()
sets()
subtract()
union()
# NOT RUN { relations <- data.frame( sets = c(rep("A", 5), "B", "C"), elements = c(letters[seq_len(6)], letters[6]), fuzzy = runif(7) ) a <- tidySet(relations) element_size(a) # }
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