Function to generate a metric vs drift plot

Usage

plot_success_proba_vs_drift(
  metric,
  results_metrics_df,
  theta_0,
  case_study,
  method,
  target_sample_size_per_arm = NULL,
  target_to_source_std_ratio,
  source_denominator_change_factor = NULL,
  parameters_combinations = NULL,
  xvars,
  join_points = FALSE,
  baseline_success_proba
)

Arguments

metric: The metric to plot
results_metrics_df: The dataframe containing the results and metrics
theta_0: The true treatment effect
case_study: The case study name
method: The method name
target_sample_size_per_arm: The target sample size per arm
target_to_source_std_ratio: Ratio between the target and source studies sampling standard deviation.
source_denominator_change_factor: The source denominator change factor of the scenario to keep.
parameters_combinations: The combinations of parameters to filter the results by
xvars: A list of x-variables for control drift and treatment drift
join_points: Whether to join the point with a line or not.
baseline_success_proba: Which baselines to overlay: any of "at_equivalent_TIE" and "at_nominal_TIE".

Value

None