du_ttest_sim: t-test simulation: Simulate rowwise t-tests

In nignatiadis/ihwPaper: Reproduce figures in IHW paper

Description

t-test simulation: Simulate rowwise t-tests

Usage

du_ttest_sim(
  m,
  pi0,
  effect_size,
  n_samples = 10,
  uninformative_filter = FALSE,
  seed = NULL
)

du_ttest_sim_fun(
  m,
  pi0,
  effect_size,
  n_samples = 10,
  uninformative_filter = FALSE
)

Arguments

m	Integer, total number of hypotheses
pi0	Numeric, proportion of null hypotheses
effect_size	Numeric, the alternative hypotheses will be
n_samples	Integer, number of samples for t-test, i.e. the comparison will be n_samples/2 vs n_samples/2
uninformative_filter	Boolean, if TRUE will generate uniformly distributed filter statistic Otherwise will use the pooled standard deviations
seed	Integer, Random seed to be used for simulation (default: NULL, i.e. RNG state will be used as is)

Value

A data frame containing all information about the simulation experiment

Functions

• du_ttest_sim_fun: Creates a closure function for a given seed

Examples

sim_df <- du_ttest_sim(20000,0.95, 1.5)

nignatiadis/ihwPaper documentation built on Jan. 18, 2021, 3:13 p.m.