Arrange the order of a TidySet
Use arrange 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' arrange(.data, ...) arrange_set(.data, ...) arrange_element(.data, ...) arrange_relation(.data, ...)
.data |
The TidySet object |
... |
Comma separated list of variables names or expressions integer column position to be used to reorder the TidySet. |
A TidySet object
Other methods:
TidySet-class
,
activate()
,
add_column()
,
add_relation()
,
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()
,
pull.TidySet()
,
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)) ) b <- arrange(a, desc(type)) elements(b) b <- arrange_element(a, elements) elements(b) # Arrange sets arrange_set(a, sets)
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