Return the objects without the elements listed
Usage
complement_element(object, elements, ...)
# S4 method for class 'TidySet,characterORfactor'
complement_element(
object,
elements,
name = NULL,
FUN = NULL,
keep = TRUE,
keep_relations = keep,
keep_elements = keep,
keep_sets = keep
)Arguments
- object
A TidySet object.
- elements
The set to look for the complement.
- ...
Placeholder for other arguments that could be passed to the method. Currently not used.
- name
Name of the new set. By default it adds a "C".
- FUN
A function to be applied when performing the union. The standard union is the "max" function, but you can provide any other function that given a numeric vector returns a single number.
- keep
Logical value to keep all the other sets.
- keep_relations
A logical value if you wan to keep old relations.
- keep_elements
A logical value if you wan to keep old elements.
- keep_sets
A logical value if you wan to keep old sets.
Methods (by class)
complement_element(object = TidySet, elements = characterORfactor): Complement of the elements.
See also
Other complements:
complement_set(),
complement(),
subtract()
Other methods that create new sets:
complement_set(),
intersection(),
subtract(),
union()
Other methods:
TidySet-class,
activate(),
add_column(),
add_relation(),
arrange.TidySet(),
cartesian(),
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(),
set_size(),
sets(),
subtract(),
union()
Examples
relations <- data.frame(
sets = c("A", "A", "B", "B", "C", "C"),
elements = letters[seq_len(6)],
fuzzy = runif(6)
)
TS <- tidySet(relations)
complement_element(TS, "a", "C_a")
#> elements sets fuzzy
#> 1 a A 0.3542068
#> 2 b A 0.8251994
#> 3 c B 0.2738182
#> 4 d B 0.5700450
#> 5 e C 0.3357191
#> 6 f C 0.5962628
#> 7 a C_a 0.6457932
complement_element(TS, "a", "C_a", keep = FALSE)
#> elements sets fuzzy
#> 1 a C_a 0.6457932