dtplyr (version 1.3.1)

distinct.dtplyr_step: Subset distinct/unique rows

Description

This is a method for the dplyr distinct() generic. It is translated to data.table::unique.data.table().

Usage

# S3 method for dtplyr_step
distinct(.data, ..., .keep_all = FALSE)

Arguments

.data

A lazy_dt()

...

<data-masking> Optional variables to use when determining uniqueness. If there are multiple rows for a given combination of inputs, only the first row will be preserved. If omitted, will use all variables in the data frame.

.keep_all

If TRUE, keep all variables in .data. If a combination of ... is not distinct, this keeps the first row of values.

Examples

library(dplyr, warn.conflicts = FALSE)
df <- lazy_dt(data.frame(
  x = sample(10, 100, replace = TRUE),
  y = sample(10, 100, replace = TRUE)
))

df %>% distinct(x)
df %>% distinct(x, y)
df %>% distinct(x, .keep_all = TRUE)