filter

filter.inzdf_db

Provides a collection of wrapper functions for common variable and dataset manipulation workflows primarily used by 'iNZight', a graphical user interface providing easy exploration and visualisation of data for students of statistics, available in both desktop and online versions. Additionally, many of the functions return the 'tidyverse' code used to obtain the result in an effort to bridge the gap between GUI and coding.

Tom M. Elliott

iNZightTools

Tools for 'iNZight'

Tom Elliott

Daniel Barnett

Yiwen He

Zhaoming Su

Lushi Cai

Akshay Gupta

Owen Jin

Christoph Knopf

filter function

<dl><dt>.data</dt>
<dd>A data frame, data frame extension (e.g. a tibble), or a
lazy data frame (e.g. from dbplyr or dtplyr). See Methods, below, for
more details.</dd>
<dt>...</dt>
<dd>&lt;<code>data-masking</code>&gt; Expressions that
return a logical value, and are defined in terms of the variables in
<code>.data</code>. If multiple expressions are included, they are combined with the
<code>&amp;</code> operator. Only rows for which all conditions evaluate to <code>TRUE</code> are
kept.</dd>
<dt>table</dt>
<dd>name of the table to use, defaults to first in list</dd>
<dt>.preserve</dt>
<dd>ignored</dd></dl>

Arguments

Filter — filter

<dl>

<dt>.data</dt>
<dd>A data frame, data frame extension (e.g. a tibble), or a
lazy data frame (e.g. from dbplyr or dtplyr). See Methods, below, for
more details.</dd>


<dt>...</dt>
<dd>&lt;<code>data-masking</code>&gt; Expressions that
return a logical value, and are defined in terms of the variables in
<code>.data</code>. If multiple expressions are included, they are combined with the
<code>&amp;</code> operator. Only rows for which all conditions evaluate to <code>TRUE</code> are
kept.</dd>


<dt>table</dt>
<dd>name of the table to use, defaults to first in list</dd>


<dt>.preserve</dt>
<dd>ignored</dd>

</dl>

Filter

filter: Filter

Description

Usage

Arguments