Generate summary tables and plots for longitudinal data

Usage

margot_summary_tables(
  data,
  baseline_wave,
  exposure_waves,
  outcome_wave,
  name_exposure,
  name_exposure_cat = NULL,
  baseline_vars = NULL,
  outcome_vars = NULL,
  extra_vars = c("id", "wave", "year_measured", "not_lost", "sample_weights"),
  baseline_labels = NULL,
  exposure_labels = NULL,
  outcome_labels = NULL,
  create_plots = FALSE,
  plot_type = "boxplot",
  show_progress = TRUE
)

Arguments

data: A data frame containing the longitudinal data
baseline_wave: The wave number for baseline measurements
exposure_waves: A vector of wave numbers for exposure measurements
outcome_wave: The wave number for outcome measurements
name_exposure: The name of the exposure variable
name_exposure_cat: The name of the categorical exposure variable (optional)
baseline_vars: A vector of baseline variable names
outcome_vars: A vector of outcome variable names
extra_vars: A vector of additional variable names (default: c("id", "wave", "year_measured", "not_lost", "sample_weights"))
baseline_labels: A named vector of labels for baseline variables (optional)
exposure_labels: A named vector of labels for exposure variables (optional)
outcome_labels: A named vector of labels for outcome variables (optional)
create_plots: Logical, whether to create plots (default: FALSE)
plot_type: The type of plot to create ("boxplot" or "density", default: "boxplot")
show_progress: Logical, whether to show a progress bar (default: TRUE)

Value

A list containing summary tables, information, and optional plots