ranksProb_compare_plots: Plots to compare ranks probabilities

In mshasan/OPWpaper1: Reproduce figures and simulations of OPWeight

Description

OPWeight package proposed methods to compute the probabilities of the rank of test given the effect size. This funciton uses the simulation results obtained from the three approahes: 1) simulation, 2) exact formula, and 3) normal approximation to plot the rank probabilities.

Usage

ranksProb_compare_plots(m0, effectType = c("binary", "continuous"))

Arguments

m0	number of true null tests
effectType	type of effect sizes; c("continuous", "binary")

Details

To use this function to plot, one needs to load "simu_prob_rank_givenEffect.RDATA" and apply for different m0.

Value

Data A data frame containing seven columns; ranks and null and alternative probabilities of the test from the three approaches

Author(s)

Mohamad S. Hasan, [e-mail]

References

Hasan and Schliekelman (2017)

Examples

load(system.file("simulations/results", "simu_prob_rank_givenEffect.RDATA",
                             package = "OPWpaper"), envir = environment())
ranksPlots <- ranksProb_compare_plots(m0 = 90, effectType = "continuous")

mshasan/OPWpaper1 documentation built on Feb. 22, 2021, 10:22 a.m.