scb_labels

<p>Labels can be overwritten with using <code>sbc_labels</code> option.</p>

datasets

You can easily add advanced cohort-building component
to your analytical dashboard or simple 'Shiny' app.
Then you can instantly start building cohorts using multiple
filters of different types, filtering datasets, and filtering steps.
Filters can be complex and data-specific, and together
with multiple filtering steps you can use complex filtering rules.
The cohort-building sidebar panel allows you to easily
work with filters, add and remove filtering steps.
It helps you with handling missing values during filtering,
and provides instant filtering feedback with filter feedback plots.
The GUI panel is not only compatible with native shiny
bookmarking, but also provides reproducible R code.

Krystian Igras

shinyCohortBuilder

Modular Cohort-Building Framework for Analytical Dashboards

Kamil Wais

Adam Foryś

scb_labels function

<p>An object of class <code>list</code> of length 16.</p>

scb_labels: Default filtering panel labels

Description

Usage

Arguments

Format