distinct: Select distinct/unique rows.

In sctyner/dplyr050: A Grammar of Data Manipulation

Description

Retain only unique/distinct rows from an input tbl. This is similar to unique.data.frame, but considerably faster.

Usage

distinct(.data, ..., .keep_all = FALSE)

distinct_(.data, ..., .dots, .keep_all = FALSE)

Arguments

.data	a tbl
...	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.
.keep_all	If TRUE, keep all variables in .data. If a combination of ... is not distinct, this keeps the first row of values.
.dots	Used to work around non-standard evaluation. See vignette("nse") for details.

Examples

df <- data.frame(
  x = sample(10, 100, rep = TRUE),
  y = sample(10, 100, rep = TRUE)
)
nrow(df)
nrow(distinct(df))
nrow(distinct(df, x, y))

distinct(df, x)
distinct(df, y)

# Can choose to keep all other variables as well
distinct(df, x, .keep_all = TRUE)
distinct(df, y, .keep_all = TRUE)

# You can also use distinct on computed variables
distinct(df, diff = abs(x - y))

sctyner/dplyr050 documentation built on May 17, 2019, 2:22 p.m.