dplyr (version 0.5.0)

distinct: Select distinct/unique rows.

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))

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