mutate_: Mutate

In llrs/BaseSet: Working with Sets the Tidy Way

Mutate

Description

Use mutate to alter the TidySet object. You can use activate with mutate or use the specific function. The S3 method filters using all the information on the TidySet.

Usage

## S3 method for class 'TidySet'
mutate(.data, ...)

mutate_set(.data, ...)

mutate_element(.data, ...)

mutate_relation(.data, ...)

Arguments

.data	The TidySet object.
...	The logical predicates in terms of the variables of the sets.

Value

A TidySet object

See Also

dplyr::mutate() and activate()

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(), is_nested(), move_to(), 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 <- 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)
a <- mutate_element(a, Type = c(rep("Gene", 4), rep("lncRNA", 2)))
a
b <- mutate_relation(a, Type = sample(c("PPI", "PF", "MP"), 12,
    replace = TRUE
))

llrs/BaseSet documentation built on Feb. 22, 2025, 9:52 p.m.