Subtract
Elements in a set not present in the other set. Equivalent to
setdiff.
subtract(object, set_in, not_in, ...) ## S4 method for signature 'TidySet,characterORfactor,characterORfactor' subtract( object, set_in, not_in, name = NULL, keep = TRUE, keep_relations = keep, keep_elements = keep, keep_sets = keep )
object |
A TidySet object. |
set_in |
Name of the sets where the elements should be present. |
not_in |
Name of the sets where the elements should not be present. |
... |
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". |
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,set_in = characterORfactor,not_in = characterORfactor: Elements present in sets but not in other sets
Other complements:
complement_element(),
complement_set(),
complement()
Other methods that create new sets:
complement_element(),
complement_set(),
intersection(),
union()
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(),
set_size(),
sets(),
union()
relations <- data.frame(
sets = c("A", "A", "B", "B", "C", "C"),
elements = letters[seq_len(6)],
fuzzy = runif(6)
)
TS <- tidySet(relations)
subtract(TS, "A", "B")
subtract(TS, "A", "B", keep = FALSE)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.