replext_t3_c5.1 {npboottprm} | R Documentation |
Replicate and Extend Statistical Power Analysis from Table 3 Cell 5.1
Description
This function is designed to replicate and extend the statistical power analysis
from Table 3 cell block 5.1 in the paper by Dwivedi et al. (2017). It focuses on
scenarios with normal distribution and unequal sample sizes, using the same
means and variances for both groups. It acts as a wrapper around
replext_t2_c1.1
, with modifications in means and sample sizes.
Usage
replext_t3_c5.1(
M1 = 5,
S1 = 1,
M2 = 7,
S2 = 1,
Sk1 = NULL,
Sk2 = NULL,
n1 = c(3, 4, 5, 6),
n2 = c(7, 11, 10, 9),
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 7. |
S2 |
Standard deviation for the second group, default is 1. |
Sk1 |
Skewness parameter for the first group, default is NULL (normal distribution). |
Sk2 |
Skewness parameter for the second group, default is NULL (normal distribution). |
n1 |
Vector of sample sizes for the first group. |
n2 |
Vector of unequal sample sizes for the second group. |
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 pair (n1, n2) and the proportions of significant p-values for each test (ST, WT, NPBTT, WRST, PTT), representing the power analysis.
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.
See Also
Examples
replext_t3_c5.1(n1 = c(4), n2 = c(11), n_simulations = 1)