res_format: Simulation Result Data Cleaning

In koohyun-kwon/OptACI: Methods to Construct Optimal Average Coverage Confidence Intervals

Description

Generates cleaned data frames from simulation results.

Usage

res_format(config_names, M_range, CI_res_all, chi_orc, alpha)

Arguments

config_names	names of configurations
M_range	a vector of dispersion parameters
CI_res_all	a simulation output matrix, with the number of rows equal to 2 * length(M_range) * length(config_names) and the number of columns equal to number of simulations.
chi_orc	a vector of optimal half-lengths, corresponding to each value in M_range.
alpha	a desired level of non-coverage

Details

This function was created for the purpose of simulations.

Value

a list of two dataframes, corresponding to coverage (cov_data) and half-length (chi_data) results, respectively.

Examples

config_names <- c("a", "b")
M_range <- c(1, 2)
nrow <- 2 * length(M_range) * length(config_names)
CI_res_all <- matrix(rnorm(nrow * 50), nrow, 50)
chi_orc <- c(1, 2)
res_format(config_names, M_range, CI_res_all, chi_orc, 0.05)

koohyun-kwon/OptACI documentation built on Oct. 6, 2020, 8:09 a.m.