resample_n_locshift: Compute a distribution of estimates of N based on two pilot...
In skewsamp: Estimate Sample Sizes for Group Comparisons with Skewed Distributions

Description Usage Arguments Details Value References

Estimation of sample sizes based on resampled pilot samples from the empirical cumulative density. Based on the work of Chakraborti, Hong, & van de Wiel (2006).

resample_n_locshift(
  s1,
  s2,
  delta,
  alpha = 0.05,
  power = 0.9,
  n_resamples = 500,
  q = 0.5
)

`s1, s2`	Pilot samples
`delta`	numeric value, location shift parameter δ
`alpha`	Type I error probability
`power`	1 - Type II error probability, the desired statistical power
`n_resamples`	number of resamples to use in bootstrapping
`q`	size of group0 relative to total sample size.

WARNING: Note that the estimation has high variability due to its dependence on pilot samples. The smaller the pilot sample, the more uncertain is the estimation of the required sample size. In a simulation study, we found that the method may also be inaccurate on average, depending on the investigated data.

numeric vector of sample size estimates (total sample size)

Chakraborti, S., Hong, B., & van de Wiel, M. A. (2006). A note on sample size determination for a nonparametric test of location. Technometrics, 48(1), 88–94. https://doi.org/10.1198/004017005000000193

skewsamp documentation built on Dec. 17, 2021, 1:07 a.m.