Assessment Longitudinal Table — assessment_longitudinal

Create a table of standardized scores across multiple visits

Usage

assessment_longitudinal_table(
  dat,
  id = "NACCID",
  date = "VISITDATE",
  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,
  methods = "infer",
  table_font_size = 100,
  table_id = NULL,
  show_all_visits = TRUE,
  stubhead_label = NULL
)

Arguments

dat: A data.table object.
id: A character string specifying a column in the data frame dat. Default is "NACCID".
date: A character string specifying a column in the data frame dat. Default is "VISITDATE".
descriptions: A named numeric vector. Default has names "Impaired", "Borderline", "Low Average", "Average", "High Average", "Superior", and "Very Superior" with corresponding values 0.03, 0.10, 0.26, 0.76, 0.92, 0.97, and 1.
fill_values: Optional.
methods: Either a list containing methods used for standardization (each a character vector with named entried method and version), or "infer" (default). If "infer", then methods are pulled from attributes of standardized columns.
table_font_size: A numeric value passed to gt::tab_options(table.font.size = gt::pct(table_font_size)). Defaults to 100.
table_id: Optional. ID given to the table. If not provided, random string assigned.
show_all_visits: A boolean. If TRUE (default), all visits present in the data are shown in the table. If FALSE, only visits with at least one standardized score are presented.
stubhead_label: Optional. Passed to gt::tab_stubhead(label = stubhead_label).

Value

A shiny::HTML table created from a gt::gt object.