replext_ts2_c1.1 {npboottprm} | R Documentation |
Replicate and Extend Type I Error Rates for ANOVA in a Three-Sample Setting
Description
This function aims to replicate and extend the Type I error rate analysis for ANOVA (Analysis of Variance) from the supplemental tables of the paper by Dwivedi et al. (2017). It allows for the simulation of three-sample scenarios with the option to use either normal or skew normal distributions, and performs various statistical tests to assess the Type I error rates.
Usage
replext_ts2_c1.1(
M1 = 5,
S1 = 1,
M2 = 5,
S2 = 1,
M3 = 5,
S3 = 1,
Sk1 = NULL,
Sk2 = NULL,
Sk3 = NULL,
n1 = c(2, 3, 4, 5, 6, 7, 8, 9, 10, 15),
n2 = c(2, 3, 4, 5, 6, 7, 8, 9, 10, 15),
n3 = c(2, 3, 4, 5, 6, 7, 8, 9, 10, 15),
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. |
M3 |
Mean for the third group, default is 5. |
S3 |
Standard deviation for the third group, default is 1. |
Sk1 |
Skewness parameter for the first group, NULL implies normal distribution. |
Sk2 |
Skewness parameter for the second group, NULL implies normal distribution. |
Sk3 |
Skewness parameter for the third group, NULL implies normal distribution. |
n1 |
Vector of sample sizes for the first group. |
n2 |
Vector of sample sizes for the second group. |
n3 |
Vector of sample sizes for the third group, must be the same length as n1 and n2. |
n_simulations |
Number of simulations to run, default is 10,000. |
nboot |
Number of bootstrap samples for the nonparametric bootstrap test, 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 combination (n1, n2, n3) and the proportions of significant p-values for each test (ANOVA, Kruskal-Wallis, Nonparametric Bootstrap F-test, Permutation F-test).
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_ts2_c1.1(n1 = c(10), n2 = c(10), n3 = c(10), n_simulations = 1)