count.dtplyr_step: Count observations by group

In dtplyr: Data Table Back-End for 'dplyr'

Count observations by group

Description

This is a method for the dplyr count() generic. It is translated using .N in the j argument, and supplying groups to keyby as appropriate.

Usage

## S3 method for class 'dtplyr_step'
count(x, ..., wt = NULL, sort = FALSE, name = NULL)

Arguments

x	A lazy_dt()
...	<data-masking> Variables to group by.
wt	<data-masking> Frequency weights. Can be NULL or a variable: If NULL (the default), counts the number of rows in each group. If a variable, computes sum(wt) for each group.
sort	If TRUE, will show the largest groups at the top.
name	The name of the new column in the output. If omitted, it will default to n. If there's already a column called n, it will use nn. If there's a column called n and nn, it'll use nnn, and so on, adding ns until it gets a new name.

Examples

library(dplyr, warn.conflicts = FALSE)

dt <- lazy_dt(dplyr::starwars)
dt %>% count(species)
dt %>% count(species, sort = TRUE)
dt %>% count(species, wt = mass, sort = TRUE)

dtplyr documentation built on March 31, 2023, 9:13 p.m.