Use complement to find elements or sets the TidySet object. You can use activate with complement or use the specific function. You must specify if you want the complements of sets or elements.
Arguments
- .data
The TidySet object
- ...
Other arguments passed to either
complement_setorcomplement_element.
See also
Other complements:
complement_element(),
complement_set(),
subtract()
Other methods:
TidySet-class,
activate(),
add_column(),
add_relation(),
arrange.TidySet(),
cartesian(),
complement_element(),
complement_set(),
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
rel <- data.frame(
sets = c("A", "A", "B", "B", "C", "C"),
elements = letters[seq_len(6)],
fuzzy = runif(6)
)
TS <- tidySet(rel)
TS %>%
activate("elements") %>%
complement("a")
#> elements sets fuzzy
#> 1 a A 0.6249041
#> 2 b A 0.8993989
#> 3 c B 0.7066904
#> 4 d B 0.3267836
#> 5 e C 0.8850214
#> 6 f C 0.3056455
#> 7 a ∁a 0.3750959
TS %>%
activate("elements") %>%
complement("a", "C_a", keep = FALSE)
#> elements sets fuzzy
#> 1 a C_a 0.3750959
TS %>%
activate("set") %>%
complement("A")
#> elements sets fuzzy
#> 1 a A 0.6249041
#> 2 b A 0.8993989
#> 3 c B 0.7066904
#> 4 d B 0.3267836
#> 5 e C 0.8850214
#> 6 f C 0.3056455
#> 7 a ∁A 0.3750959
#> 8 b ∁A 0.1006011
TS %>%
activate("set") %>%
complement("A", keep = FALSE)
#> elements sets fuzzy
#> 1 a ∁A 0.3750959
#> 2 b ∁A 0.1006011
TS %>%
activate("set") %>%
complement("A", FUN = function(x){abs(x - 0.2)}, keep = FALSE)
#> elements sets fuzzy
#> 1 a ∁A 0.4249041
#> 2 b ∁A 0.6993989