tally

0th

Percentile

Counts/tally observations by group.

tally is a convenient wrapper for summarise that will either call n or sum(n) depending on whether you're tallying for the first time, or re-tallying. count() is similar, but also does the group_by for you.

Usage
tally(x, wt, sort = FALSE)

count(x, ..., wt = NULL, sort = FALSE)

count_(x, vars, wt = NULL, sort = FALSE)

Arguments
x

a tbl to tally/count.

wt

(Optional) If omitted, will count the number of rows. If specified, will perform a "weighted" tally by summing the (non-missing) values of variable wt.

sort

if TRUE will sort output in descending order of n

..., vars

Variables to group by.

Aliases
  • count
  • count_
  • tally
Examples
library(dplyr) if (require("Lahman")) { batting_tbl <- tbl_df(Batting) tally(group_by(batting_tbl, yearID)) tally(group_by(batting_tbl, yearID), sort = TRUE) # Multiple tallys progressively roll up the groups plays_by_year <- tally(group_by(batting_tbl, playerID, stint), sort = TRUE) tally(plays_by_year, sort = TRUE) tally(tally(plays_by_year)) # This looks a little nicer if you use the infix %>% operator batting_tbl %>% group_by(playerID) %>% tally(sort = TRUE) # count is even more succinct - it also does the grouping for you batting_tbl %>% count(playerID) batting_tbl %>% count(playerID, wt = G) batting_tbl %>% count(playerID, wt = G, sort = TRUE) }
Documentation reproduced from package dplyr, version 0.5.0, License: MIT + file LICENSE

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