Use filter to subset the 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
filter(.data, ...)
filter_set(.data, ...)
filter_element(.data, ...)
filter_relation(.data, ...)Arguments
- .data
The TidySet object.
- ...
The logical predicates in terms of the variables of the sets.
See also
Other methods:
TidySet-class,
activate(),
add_column(),
add_relation(),
arrange.TidySet(),
cartesian(),
complement_element(),
complement_set(),
complement(),
element_size(),
elements(),
group_by.TidySet(),
group(),
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
relations <- 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", 4), rep("lncRNA", 2))
)
TS <- tidySet(relations)
TS <- move_to(TS, from = "relations", to = "elements", column = "type")
filter(TS, elements == "a")
#> elements sets fuzzy type
#> 1 a a 0.147259109 Gene
#> 2 a a2 0.008010744 Gene
# Equivalent to filter_relation
filter(TS, elements == "a", sets == "a")
#> elements sets fuzzy type
#> 1 a a 0.1472591 Gene
filter_relation(TS, elements == "a", sets == "a")
#> elements sets fuzzy type
#> 1 a a 0.1472591 Gene
# Filter element
filter_element(TS, type == "Gene")
#> elements sets fuzzy type
#> 1 a a 0.147259109 Gene
#> 2 b a 0.285212481 Gene
#> 3 c a 0.963303758 Gene
#> 4 d a 0.425406765 Gene
#> 5 a a2 0.008010744 Gene
#> 6 b a2 0.139742932 Gene
#> 7 c a2 0.225657235 Gene
#> 8 d a2 0.397530537 Gene
# Filter sets and by property of elements simultaneously
filter(TS, sets == "b", type == "lncRNA")
#> elements sets fuzzy type
#> 1 f b 0.4338967 lncRNA
# Filter sets
filter_set(TS, sets == "b")
#> elements sets fuzzy type
#> 1 f b 0.4338967 lncRNA