| element_size | R Documentation |
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.
element_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(),
complement_element(),
complement_set(),
elements(),
filter.TidySet(),
group(),
group_by.TidySet(),
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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