replext_t5_c1.1: Replicate and Extend Simulation Results for Paired...

In npboottprm: Nonparametric Bootstrap Test with Pooled Resampling

Replicate and Extend Simulation Results for Paired Distributions

Description

This function aims to replicate and extend the simulation results from Table 5 cell 1.1 of the paper by Dwivedi et al. (2017) for paired distributions with the option to use either normal or skew normal distributions. It allows specifying means, standard deviations, skewness, and correlation for two paired distributions.

Usage

replext_t5_c1.1(
  M1 = 5,
  S1 = 1,
  M2 = 5,
  S2 = 1,
  Sk1 = 0,
  Sk2 = 0,
  correl = 0.8,
  n = c(3, 4, 5, 6, 7, 8, 9, 10, 15, 25),
  n_simulations = 10000,
  nboot = 1000,
  conf.level = 0.95
)

Arguments

M1	Mean for the first group, default is 5.
S1	Standard deviation for the first group, default is 1.
M2	Mean for the second group, default is 5.
S2	Standard deviation for the second group, default is 1.
Sk1	Skewness parameter for the first group, default is 0 (normal distribution).
Sk2	Skewness parameter for the second group, default is 0 (normal distribution).
correl	Correlation between the two groups, default is 0.8.
n	Vector of sample sizes for the paired groups.
n_simulations	Number of simulations to run, default is 10,000.
nboot	Number of bootstrap samples, default is 1000.
conf.level	Confidence level for calculating p-value thresholds, default is 0.95.

Value

A data frame with columns for each sample size and the proportions of significant p-values for each test (PT, NPBTT, WRST, PTT).

References

Dwivedi AK, Mallawaarachchi I, Alvarado LA. Analysis of small sample size studies using nonparametric bootstrap test with pooled resampling method. Stat Med. 2017 Jun 30;36(14):2187-2205. doi: 10.1002/sim.7263. Epub 2017 Mar 9. PMID: 28276584.

Examples

replext_t5_c1.1(n = c(10), n_simulations = 1)

npboottprm documentation built on Sept. 13, 2024, 5:06 p.m.