A set is a group of unique elements it can be either a fuzzy set, where the relationship is between 0 or 1 or nominal.
Details
When printed if an element or a set do not have any relationship is not
shown.
They can be created from lists, matrices or data.frames. Check tidySet()
constructor for more information.
Slots
relationsA data.frame with elements and the sets were they belong.
elementsA data.frame of unique elements and related information.
setsA data.frame of unique sets and related information.
See also
Other methods:
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(),
subtract(),
union()
Examples
x <- list("A" = letters[1:5], "B" = LETTERS[3:7])
a <- tidySet(x)
a
#> elements sets fuzzy
#> 1 a A 1
#> 2 b A 1
#> 3 c A 1
#> 4 d A 1
#> 5 e A 1
#> 6 C B 1
#> 7 D B 1
#> 8 E B 1
#> 9 F B 1
#> 10 G B 1
x <- list("A" = letters[1:5], "B" = character())
b <- tidySet(x)
b
#> elements sets fuzzy
#> 1 a A 1
#> 2 b A 1
#> 3 c A 1
#> 4 d A 1
#> 5 e A 1
name_sets(b)
#> [1] "A" "B"