group {BaseSet}

Create a new set from existing elements

Description

It allows to create a new set given some condition. If no element meet the condition an empty set is created.

Usage

group(object, name, ...)

## S3 method for class 'TidySet'
group(object, name, ...)

Arguments

object

A TidySet object.

name

The name of the new set.

...

A logical condition to subset some elements.

Value

A TidySet object with the new set.

See Also

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(), 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()

Examples

x <- list("A" = c("a" = 0.1, "b" = 0.5), "B" = c("a" = 0.2, "b" = 1))
TS <- tidySet(x)
TS1 <- group(TS, "C", fuzzy < 0.5)
TS1
sets(TS1)
TS2 <- group(TS, "D", fuzzy < 0)
sets(TS2)
r <- data.frame(
    sets = c(rep("A", 5), "B", rep("A2", 5), "B2"),
    elements = rep(letters[seq_len(6)], 2),
    fuzzy = runif(12),
    type = c(rep("Gene", 2), rep("Protein", 2), rep("lncRNA", 2))
)
TS3 <- tidySet(r)
group(TS3, "D", sets %in% c("A", "A2"))