Shiny Module to Display NACC T-Cog Neuropsychological Assessment Summary Table

Usage

mainTableUI(id)

mainTableServer(
  id,
  dat,
  descriptions = c(Impaired = 0.03, Borderline = 0.1, `Low Average` = 0.26, Average =
    0.76, `High Average` = 0.92, Superior = 0.97, `Very Superior` = 1),
  fill_values = NULL,
  methods = "infer",
  table_font_size = 100,
  include_caption = F,
  print_updating = F
)

mainTableApp(dat, testing = FALSE)

Arguments

id: An ID string to match module UI and server UI
dat: Data to use. Must have exactly one row (data from one participant and one visit).
descriptions: A named vector giving cutoffs to use for creating descriptions.
fill_values: (optional) A named vector of same length (with same names) as descriptions with hex color values to use. If NULL, no colorcoding used. By default, evenly spread out colors from red through yellow to green are used.
methods: (optional) either list of named entries specifying which model was used for standardizing cognitive scores, or the character string "infer". For the latter, methods are infered from the dat object using NpsychBatteryNorms::methods_from_std_data. If specified, footnotes are added to indicate the methods used.
table_font_size: (optional) scalar indicating font size as a percentage.
include_caption: Logical; should a caption be included above the table with age and IQCODEs at current visit?
print_updating: logical (defualt FALSE); should a message be displayed when table is being updated? For debugging.
testing: logical (default FALSE); should the app be run in testing mode?

Value

a Shiny app object.