get_dataFilter_class

Return the class used for dispatch to shiny_vector_filter formatted using
pillar

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 

get_dataFilter_class function

<dl><dt>obj</dt>
<dd>the object whose class for dispatch should be derived</dd></dl>

Arguments

Return the class used for dispatch to shiny_vector_filter formatted using
pillar — get_dataFilter_class

<dl>

<dt>obj</dt>
<dd>the object whose class for dispatch should be derived</dd>

</dl>

get_dataFilter_class: Return the class used for dispatch to shiny_vector_filter formatted using pillar

Description

Usage

Value

Arguments