BaseSet (version 1.0.0)

select.TidySet: select from a TidySet

Description

Use select to extract the columns of a TidySet object. You can use activate with filter or use the specific function. The S3 method filters using all the information on the TidySet.

Usage

# S3 method for TidySet
select(.data, ...)
select_set(.data, ...)
select_element(.data, ...)
select_relation(.data, ...)

Value

A TidySet object

Arguments

.data

The TidySet object

...

The name of the columns you want to keep, remove or rename.

See Also

dplyr::select() 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(), 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(), 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 <- mutate_set(a, Group = c("UFM", "UAB", "UPF", "MIT"))
b <- select(a, -type)
elements(b)
b <- select_element(a, elements)
elements(b)
# Select sets
select_set(a, sets)