distinct_dt

Select only unique/distinct rows from a data frame.

A toolkit of tidy data manipulation verbs with 'data.table' as the backend.
Combining the merits of syntax elegance from 'dplyr' and computing performance from 'data.table',
'tidyfst' intends to provide users with state-of-the-art data manipulation tools with least pain.
This package is an extension of 'data.table'. While enjoying a tidy syntax,
it also wraps combinations of efficient functions to facilitate frequently-used data operations.

Tian-Yuan Huang

tidyfst

Tidy Verbs for Fast Data Manipulation

distinct_dt function

<dl><dt>.data</dt>
<dd>data.frame</dd>
<dt>...</dt>
<dd>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.</dd>
<dt>.keep_all</dt>
<dd>If <code>TRUE</code>, keep all variables in data.frame. If a combination of ... is not distinct,
this keeps the first row of values.</dd>
<dt>fromLast</dt>
<dd>Logical indicating if duplication should be
considered from the reverse side. Defaults to <code>FALSE</code>.</dd></dl>

Arguments

Select distinct/unique rows in data.frame — distinct_dt

<dl>

<dt>.data</dt>
<dd>data.frame</dd>


<dt>...</dt>
<dd>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.</dd>


<dt>.keep_all</dt>
<dd>If <code>TRUE</code>, keep all variables in data.frame. If a combination of ... is not distinct,
this keeps the first row of values.</dd>


<dt>fromLast</dt>
<dd>Logical indicating if duplication should be
considered from the reverse side. Defaults to <code>FALSE</code>.</dd>

</dl>

distinct_dt: Select distinct/unique rows in data.frame

Description

Usage

Value

Arguments

See Also

Examples