group_by TidySet
Use group_by to group the TidySet object. You can use activate with group_by or with the whole data.
## S3 method for class 'TidySet' group_by(.data, ...)
.data |
The TidySet object |
... |
The logical predicates in terms of the variables of the sets |
A grouped data.frame (See The dplyr help page)
Other methods:
TidySet-class,
activate(),
add_column(),
add_relation(),
arrange.TidySet(),
cartesian(),
complement_element(),
complement_set(),
complement(),
element_size(),
elements(),
filter.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(rep("a", 5), "b", rep("a2", 5), "b2"),
elements = rep(letters[seq_len(6)], 2),
fuzzy = runif(12)
)
a <- tidySet(relations)
elements(a) <- cbind(elements(a),
type = c(rep("Gene", 4), rep("lncRNA", 2))
)
group_by(a, elements)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.