Create an interactive box plot

Usage

boxly(
  outdata,
  color = NULL,
  hover_summary_var = c("n", "min", "q1", "median", "mean", "q3", "max"),
  hover_outlier_label = c("Participant ID", "Parameter value"),
  x_label = "Visit",
  y_label = "Change",
  heading_select_list = "Lab parameter",
  heading_summary_table = "Number of Participants"
)

Arguments

outdata: An outdata object created from prepare_ae_forestly().
color: Color for box plot.
hover_summary_var: A character vector of statistics to be displayed on hover label of box.
hover_outlier_label: A character vector of hover label for outlier. A label from an input data is used if NA for a variable is specified.
x_label: x-axis label.
y_label: y-axis label.
heading_select_list: Select list menu label.
heading_summary_table: Summary table label.

Value

Interactive box plot.

Examples

# Only run this example in interactive R sessions
if (interactive()) {
  analysis_plan <- metalite::plan(
    analysis = "boxly",
    population = "apat",
    observation = "wk12",
    parameter = "SODIUM;BILI"
  )

  meta <- metalite::meta_adam(
    population = boxly_adsl,
    observation = boxly_adlb
  ) |>
    metalite::define_plan(analysis_plan) |>
    metalite::define_population(
      name = "apat",
      group = "TRTA",
      subset = SAFFL == "Y",
      label = "Safety Population"
    ) |>
    metalite::define_observation(
      name = "wk12",
      group = "TRTA",
      var = "PARAM",
      subset = AVISITN <= 12 & !is.na(CHG),
      label = "Weeks 0 to 12"
    ) |>
    metalite::define_parameter(
      name = "SODIUM",
      label = "Sodium (mmol/L)",
      subset = PARAMCD == "SODIUM"
    ) |>
    metalite::define_parameter(
      name = "BILI",
      label = "Bilirubin (mg/dL)",
      subset = PARAMCD == "BILI"
    ) |>
    metalite::define_analysis(
      name = "boxly",
      label = "Interactive Box Plot",
      x = "AVISITN",
      y = "CHG"
    ) |>
    metalite::meta_build()

  meta |>
    prepare_boxly() |>
    boxly()
}