Calculates the size of a set
Assuming that the fuzzy values are probabilities, calculates the probability of being of different sizes for a given set.
set_size(object, sets = NULL) ## S4 method for signature 'TidySet' set_size(object, sets = NULL)
object |
A TidySet object. |
sets |
The sets from which the length is calculated. |
A list with the size of the set or the probability of having that size.
TidySet: Calculates the size of a set using length_set()
cardinality
Other sizes:
element_size()
Other methods:
TidySet-class,
activate(),
add_column(),
add_relation(),
arrange.TidySet(),
cartesian(),
complement_element(),
complement_set(),
complement(),
element_size(),
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()
relations <- data.frame(
sets = c(rep("A", 5), "B", "C"),
elements = c(letters[seq_len(6)], letters[6]),
fuzzy = runif(7)
)
a <- tidySet(relations)
set_size(a)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.