distinctDS

DataSHIELD implentation of <code><a href="https://dplyr.tidyverse.org/reference/distinct.html">dplyr::distinct</a></code>.

Implementation of selected 'Tidyverse' functions within 'DataSHIELD', an open-source federated analysis solution in R. Currently, DataSHIELD contains very limited tools for data manipulation, so the aim of this package is to improve the researcher experience by implementing essential functions for data manipulation, including subsetting, filtering, grouping, and renaming variables. This is the serverside package which should be installed on the server holding the data, and is used in conjuncture with the clientside package 'dsTidyverseClient' which is installed in the local R environment of the analyst. For more information, see <https://www.tidyverse.org/> and <https://datashield.org/>.

Tim Cadman

dsTidyverse

'DataSHIELD' 'Tidyverse' Serverside Package

Mariska Slofstra

Stuart Wheater

Demetris Avraam

distinctDS function

<dl><dt>tidy_expr</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 in the data frame.</dd>
<dt>df.name</dt>
<dd>A data frame, data frame extension (e.g. a tibble), or a lazy data frame
(e.g. from dbplyr or dtplyr).</dd>
<dt>.keep_all</dt>
<dd>If TRUE, keep all variables in df.name If a combination of expr is not distinct,
this keeps the first row of values.</dd></dl>

Arguments

DataSHIELD implentation of <code><a href='https://dplyr.tidyverse.org/reference/distinct.html'>dplyr::distinct</a></code>.

Keep distinct/unique rows — distinctDS

<dl>

<dt>tidy_expr</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 in the data frame.</dd>


<dt>df.name</dt>
<dd>A data frame, data frame extension (e.g. a tibble), or a lazy data frame
(e.g. from dbplyr or dtplyr).</dd>


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

</dl>

distinctDS: Keep distinct/unique rows

Description

Usage

Value

Arguments