replext_t5_c2.1 {npboottprm} | R Documentation |
Replicate and Extend Simulation Results for Paired Distributions with Skewness and Different Variances
Description
This function is a wrapper around 'replext_t5_c1.1', targeting the replication and extension of simulation results from Table 5 cell 2.1 of the paper by Dwivedi et al. (2017). It focuses on paired distributions that combine normal and skew normal behaviors with different standard deviations and specified skewness parameters for each group.
Usage
replext_t5_c2.1(
M1 = 5,
S1 = 1,
M2 = 5,
S2 = 3,
Sk1 = 0.5,
Sk2 = 0.5,
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 3. |
Sk1 |
Skewness parameter for the first group, default is 0.5 (indicating skew normal distribution). |
Sk2 |
Skewness parameter for the second group, default is 0.5 (indicating skew 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), similar to 'replext_t5_c1.1' but with variations in standard deviations and skewness.
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_c2.1(n = c(10), n_simulations = 1)