Outlier Explorer Widget — Widget_OutlierExplorer • gsm.safety

A widget that renders the safety.viz outlier explorer: one line per participant across a measurement or time axis for a selected measure, with optional filters, color-by groups, normal-range annotations, and a detail listing for inspecting flagged outliers.

Usage

Widget_OutlierExplorer(
  dfResults,
  lSettings = list(),
  width = NULL,
  height = NULL,
  elementId = NULL,
  bDebug = FALSE
)

Arguments

dfResults: data.frame Long-format results data, one record per measurement. Column names are supplied by lSettings; the defaults expect TEST/STRESN/USUBJID/STRESU/STNRLO/STNRHI (see inst/schema/outlier-explorer.json).
lSettings: list safety.viz outlier-explorer settings overrides; merged onto the module's DEFAULT_SETTINGS client-side, so only overrides are needed.
width: character Width of the widget as a CSS unit. Default: NULL.
height: character Height of the widget as a CSS unit. Default: NULL.
elementId: character ID of the widget's HTML element. Default: NULL.
bDebug: logical Print debug messages in the browser console? Default: FALSE.

Examples

dfResults <- ExampleData("adbds")

Widget_OutlierExplorer(
  dfResults,
  lSettings = list(
    filters = list(
      list(value_col = "SITEID", label = "Site ID"),
      list(value_col = "SEX", label = "Sex"),
      list(value_col = "RACE", label = "Race"),
      list(value_col = "ARM", label = "Treatment Group")
    ),
    groups = list(
      list(value_col = "ARM", label = "Treatment Group"),
      list(value_col = "SEX", label = "Sex"),
      list(value_col = "RACE", label = "Race"),
      list(value_col = "SITE", label = "Site")
    ),
    details = list(
      list(value_col = "USUBJID", label = "Participant ID"),
      list(value_col = "STRESN", label = "Result"),
      list(value_col = "SEX", label = "Sex"),
      list(value_col = "RACE", label = "Race"),
      list(value_col = "ARM", label = "Treatment Group")
    )
  )
)