set_funs: Functions applied to sets in a 'BiocSet' object

In Kayla-Morrell/GeneSet: Representing Different Biological Sets

Description

All of the major methods applied to a BiocSet object can be explicitly applied to the set tibble. These functions bypass the need to use the es_activate function by indicating what function should be used on the element tibble.

Usage

filter_set(.data, ...)

select_set(.data, ...)

mutate_set(.data, ...)

summarise_set(.data, ...)

arrange_set(.data, ...)

left_join_set(.data, ...)

tibble_from_set(.data, how = unlist)

data.frame_from_set(.data, how = unlist)

Arguments

.data	A BiocSet object.
...	Additional argument passed to the function.
how	Multiple entries will become a list.

Value

A BiocSet object.

For tibble_from_set, a tibble.

For data.frame_from_set, a data.frame.

Examples

es <- BiocSet(set1 = letters, set2 = LETTERS)
filter_set(es, set == "set1")

es %>% select_set(set)

es %>% mutate_set(pval = rnorm(1:2))

es %>% summarise_set(n = n())

es %>% arrange_set(desc(set))

tbl <- tibble(x = 10:11, y = c("set1", "set2"))
es <- BiocSet(set1 = letters[c(1,3,5)], set2 = letters[c(2,4)])
left_join_set(es, tbl, by = c(set = "y"))

tibble_from_set(es)

data.frame_from_set(es)

Kayla-Morrell/GeneSet documentation built on April 15, 2020, 11:43 p.m.