Check if some elements are also sets of others. This is also known as hierarchical sets.
See also
adjacency
Other methods:
TidySet-class,
activate(),
add_column(),
add_relation(),
arrange.TidySet(),
cartesian(),
complement(),
complement_element(),
complement_set(),
element_size(),
elements(),
filter.TidySet(),
group(),
group_by.TidySet(),
incidence(),
intersection(),
is.fuzzy(),
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 <- list(A = letters[1:3], B = c(letters[4:5]))
TS <- tidySet(relations)
is_nested(TS)
#> [1] FALSE
TS2 <- add_relation(TS, data.frame(elements = "A", sets = "B"))
# Note that A is both a set and an element of B
TS2
#> elements sets fuzzy
#> 1 a A 1
#> 2 b A 1
#> 3 c A 1
#> 4 d B 1
#> 5 e B 1
#> 6 A B 1
is_nested(TS2)
#> [1] TRUE
