Complement of elements
Return the objects without the elements listed
complement_element(object, elements, ...) ## S4 method for signature 'TidySet,characterORfactor' complement_element( object, elements, name = NULL, FUN = NULL, keep = TRUE, keep_relations = keep, keep_elements = keep, keep_sets = keep )
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. |
A TidySet object.
object = TidySet,elements = characterORfactor: Complement of the elements.
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()
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")
complement_element(TS, "a", "C_a", keep = FALSE)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.