Determine the context of subsequent manipulations.
Functions to help to perform some action to just some type of data: elements,
sets or relations.
activate: To table the focus of future manipulations: elements, sets
or relations.
active: To check the focus on the TidySet.
deactivate: To remove the focus on a specific TidySet-
activate(.data, what) active(.data) deactivate(.data)
.data |
A |
what |
Either "elements", "sets" or "relations" |
A TidySet object.
Other methods:
TidySet-class,
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()
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))
)
# Filter in the whole TidySet
filter(a, elements == "a")
filter(a, elements == "a", type == "Gene")
# Equivalent to filter_elements
filter_element(a, type == "Gene")
a <- activate(a, "elements")
active(a)
filter(a, type == "Gene")
a <- deactivate(a)
active(a)
filter(a, type == "Gene")Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.