getInitializationCode.shinyDataFilter_df

A function for scriptgloss::getInitializationCode to dispatch to

internal

When added to an existing shiny app, users may subset any
developer-chosen R data.frame on the fly. That is, users are empowered to
slice & dice data by applying multiple (order specific) filters using the
AND (&) operator between each, and getting real-time updates on the number
of rows effected/available along the way. Thus, any downstream processes
that leverage this data source (like tables, plots, or statistical procedures)
will re-render after new filters are applied. The shiny module’s user interface has
a 'minimalist' aesthetic so that the focus can be on the data &
other visuals. In addition to returning a reactive (filtered) data.frame,
'IDEAFilter' as also returns 'dplyr' filter statements used to actually slice
the data.

Aaron Clark

IDEAFilter

Agnostic, Idiomatic Data Filter Module for Shiny

Jeff Thompson

Doug Kelkhoff

Maya Gans

 SortableJS contributors

Biogen 

getInitializationCode.shinyDataFilter_df function

<dl><dt>obj</dt>
<dd>shinyDataFilter_df object</dd>
<dt>name</dt>
<dd>unused</dd></dl>

Arguments

Handler for retrieving static code for a shinyDataFilter_df — getInitializationCode.shinyDataFilter_df

<dl>

<dt>obj</dt>
<dd>shinyDataFilter_df object</dd>


<dt>name</dt>
<dd>unused</dd>

</dl>

getInitializationCode.shinyDataFilter_df: Handler for retrieving static code for a shinyDataFilter_df

Description

Usage

Value

Arguments