replext_t2_c4.1 | R Documentation |
This function is designed to replicate and extend the simulation results
from Table 2 cell block 4.1 of the paper by Dwivedi et al. (2017). It addresses
scenarios with unequal sample sizes but the same skewed distribution and equal
variance in both groups. The function acts as a wrapper around replext_t2_c1.1
,
setting specific skewness parameters and sample sizes as per the cell's requirements.
replext_t2_c4.1(
M1 = 5,
S1 = 1,
M2 = 5,
S2 = 1,
Sk1 = 0.8,
Sk2 = 0.8,
n1 = c(4, 3, 5, 4, 6, 4, 3, 4, 5, 6),
n2 = c(2, 4, 3, 5, 3, 6, 7, 11, 10, 9),
n_simulations = 10000,
nboot = 1000,
conf.level = 0.95
)
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 0.8. |
Sk2 |
Skewness parameter for the second group, default is 0.8. |
n1 |
Vector of sample sizes for the first group. |
n2 |
Vector of sample sizes for the second group, designed for unequal sample sizes. |
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. |
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).
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.
replext_t2_c1.1
replext_t2_c4.1(n1 = c(4), n2 = c(2), n_simulations = 1)
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