replext_ts2_c2.2 {npboottprm}

Replicate and Extend Type I Error Rates for ANOVA with Skewness and Varied Standard Deviations

Description

The replext_ts2_c2.2 function extends the replext_ts2_c1.1 function by incorporating skewness in data distributions and utilizing different default values for standard deviations in the second and third groups. This function is specifically designed to investigate the influence of skewness combined with varying standard deviations on the Type I error rates in ANOVA (Analysis of Variance). It aligns with the broader analytical goals set in the study by Dwivedi et al. (2017), offering insights into the behavior of statistical tests under these conditions.

Usage

replext_ts2_c2.2(
  M1 = 5,
  S1 = 1,
  M2 = 5,
  S2 = 2,
  M3 = 5,
  S3 = 4,
  Sk1 = 0.8,
  Sk2 = 0.8,
  Sk3 = 0.8,
  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 2.

M3

Mean for the third group, default is 5.

S3

Standard deviation for the third group, default is 4.

Sk1

Skewness parameter for the first group, default is 0.8.

Sk2

Skewness parameter for the second group, default is 0.8.

Sk3

Skewness parameter for the third group, default is 0.8.

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 results that extend those from replext_ts2_c1.1, focusing on the impact of skewness and varying standard deviations. The data frame includes 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) under these specific conditions.

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

replext_ts2_c1.1, replext_ts2_c2.1

Examples

replext_ts2_c2.2(n1 = c(10), n2 = c(10), n3 = c(10), n_simulations = 1)