# distinct

From dplyr v0.3
by Hadley Wickham

##### Select distinct/unique rows.

Retain only unique/distinct rows from an input tbl. This is an
efficient version of `unique`

. `distinct()`

is best-suited
for interactive use, `distinct_()`

for calling from a function.

##### Usage

`distinct(.data, ...)`distinct_(.data, ..., .dots)

##### Arguments

- .data
- a tbl
- ...
- Variables to use when determining uniqueness. If there are multiple rows for a given combination of inputs, only the first row will be preserved.
- .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))
distinct(df, x)
distinct(df, y)
# You can also use distinct on computed variables
distinct(df, diff = abs(x - y))
```

*Documentation reproduced from package dplyr, version 0.3, License: MIT + file LICENSE*

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