Index

A

alias_series_agg() (in module siuba.dply.vector)

B

between() (in module siuba.dply.vector)

C

coalesce() (in module siuba.dply.vector) cumall() (in module siuba.dply.vector)

cumany() (in module siuba.dply.vector) cume_dist() (in module siuba.dply.vector) cummean() (in module siuba.dply.vector)

D

dense_rank() (in module siuba.dply.vector)

desc() (in module siuba.dply.vector)

F

fct_collapse() (in module siuba.dply.forcats) fct_lump() (in module siuba.dply.forcats) fct_recode() (in module siuba.dply.forcats)

fct_reorder() (in module siuba.dply.forcats) fct_rev() (in module siuba.dply.forcats) first() (in module siuba.dply.vector) floor_date() (in module siuba.experimental.datetime)

L

lag() (in module siuba.dply.vector)

last() (in module siuba.dply.vector) lead() (in module siuba.dply.vector)

M

min_rank() (in module siuba.dply.vector) module siuba.dply.verbs siuba.dply.verbs.filter

N

n() (in module siuba.dply.vector) n_distinct() (in module siuba.dply.vector) na_if() (in module siuba.dply.vector)

near() (in module siuba.dply.vector) nth() (in module siuba.dply.vector) ntile() (in module siuba.dply.vector)

P

percent_rank() (in module siuba.dply.vector)

R

row_number() (in module siuba.dply.vector)

S

siuba.dply.verbs module

siuba.dply.verbs.filter module