calc_rejection: Calculate rejection rate and MCSE

In meghapsimatrix/SimHelpers: Helper Functions for Simulation Studies

Calculate rejection rate and MCSE

Description

Calculates rejection rate. The function also calculates the associated Monte Carlo standard error.

Usage

calc_rejection(data, p_values, alpha = 0.05, format = "wide")

Arguments

data	data frame or tibble containing the simulation results.
p_values	vector or name of column from data containing p-values.
alpha	scalar or vector indicating the nominal alpha level(s). Default value is set to the conventional .05.
format	option "wide" (the default) will produce a tibble with one row, with separate variables for each specified alpha. Option "long" will produce a tibble with one row per specified alpha.

Value

A tibble containing the number of simulation iterations, performance criteria estimate and the associated MCSE.

Examples

calc_rejection(data = t_res, p_values = p_val)

meghapsimatrix/SimHelpers documentation built on Jan. 14, 2025, 5:16 a.m.