Package index • ntrd

shinyDashboard(): Run Shiny App

Extension Functions

Functions that enables third parties to implement new data sources.

data_source(): data_source
new_data_source(): Create a new data source class
data_source_server(): data_source_server generic
data_source_ui(): Data source UI
data_load(): Load data
data_nacc(): NACC data class

Tables

Functions to create tables

assessment_longitudinal_table(): Assessment Longitudinal Table
demographics_table(): Summary Table with Demographic Information
prev_diagnoses_table(): Table With Previous Diagnoses

Shiny Modules

Shiny modules used for the main Shiny application

dataSelectServer(): Data Selection Server Module
dataSelectUI(): Data selection UI module
methodSelectUI() methodSelectServer() methodSelectApp(): Shiny Module for Selecting Domains and Standardization Methods
descriptionsUI() descriptionsServer() descriptionsApp(): Descriptions UI
mainTableUI() mainTableServer() mainTableApp(): Shiny Module to Display NACC T-Cog Neuropsychological Assessment Summary Table
plotUI() plotServer() plotApp(): Plot Module
longTableUI() longTableServer() longTableApp(): Shiny Module to Display Longitudinal Trends in Table
prevDiagnosesUI() prevDiagnosesServer() prevDiagnosesApp(): Shiny Module to Display Previous Diagnoses

Shiny Helpers

shinyAddResources(): Add Shiny resources
shinyApp_header(): Shiny app header

Variable Definitions

Vectors/lists used to map variable names to/from NACC variable names

birth_vars: Variables necessary for Birth Dates
critical_vars: Variables Necessary
optional_vars: Optional Variables
visit_vars: Variables necessary for Visit Dates
nacc_to_wls: Translate NACC variable names to WLS variable names
wls_to_nacc: Translate WLS variable names to NACC variable names
nacc_var_groups: NACC Variable Groupings
nacc_groups: NACC Variable Groups
rdd: Researchers Data Dictionary in List Form
visibility_defaults: Visibility Defaults
diag_contr_pairs: Etiology Specific Variables
nacc_var_labels: Variable Labels for NACC Variables
var_labels(): Create Labels for Assessment Summary Table
crosswalk_translations: Crosswalk Variables
demo_data: Demo Data

Misc Functions

calc_fill_colors(): Calculate Fill Colors from Number of Descriptions
check_colors(): Check colors
chrome_extra_args(): Return Chrome CLI arguments
onRender(): See help(htmlwidgets::onRender)
plotly_new_traces(): New Traces to add to Plot
prepare_data(): Wrapper to prepare raw data