Calculates the size of the elements
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 signature 'TidySet' element_size(object, elements = NULL)
object |
A TidySet object. |
elements |
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()
cardinality
Other sizes:
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()
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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