Pull from a TidySet
Use pull 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.
## S3 method for class 'TidySet' pull(.data, var = -1, name = NULL, ...) pull_set(.data, var = -1, name = NULL, ...) pull_element(.data, var = -1, name = NULL, ...) pull_relation(.data, var = -1, name = NULL, ...)
.data |
The TidySet object |
var |
The literal variable name, a positive integer or a negative integer column position. |
name |
Column used to name the output. |
... |
Currently not used. |
A TidySet object
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(),
mutate.TidySet(),
nElements(),
nRelations(),
nSets(),
name_elements<-(),
name_sets<-(),
name_sets(),
power_set(),
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)))
pull(a, type)
# Equivalent to pull_relation
b <- activate(a, "relations")
pull_relation(b, elements)
pull_element(b, elements)
# Filter element
pull_element(a, type)
# Filter sets
pull_set(a, sets)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.