mutate.TidySet {BaseSet}R Documentation



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.


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

mutate_set(.data, ...)

mutate_element(.data, ...)

mutate_relation(.data, ...)



The TidySet object.


The logical predicates in terms of the variables of the sets.


A TidySet object

See Also

dplyr::mutate() and activate()

Other methods: TidySet-class, 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(), 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)
a <- mutate_element(a, Type = c(rep("Gene", 4), rep("lncRNA", 2)))
b <- mutate_relation(a, Type = sample(c("PPI", "PF", "MP"), 12,
    replace = TRUE

[Package BaseSet version 0.9.0 Index]