n_locshift {skewsamp} | R Documentation |
Estimate N on the basis of two pilot samples.
Description
Estimation as described by Chakraborti, Hong, & van de Wiel (2006).
Usage
n_locshift(s1, s2, delta, alpha = 0.05, power = 0.9, q = 0.5)
Arguments
s1 , s2 |
pilot samples |
delta |
numeric value, location shift parameter |
alpha |
type-I error probability |
power |
1 - type-II error probability, the desired statistical power |
q |
size of group0 relative to total sample size. |
Details
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.
Value
Returns an object of class "sample_size"
. It contains
the following components:
N |
the total sample size |
n0 |
sample size in Group 0 (control group) |
n1 |
sample size in Group 1 (treatment group) |
two_sided |
logical, |
alpha |
type I error rate used in sample size estimation |
power |
target power used in sample size estimation |
effect |
effect size used in sample size estimation |
effect_type |
short description of the type of effect size |
comment |
additional comment, if there is any |
call |
the matched call. |
References
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
Examples
n_locshift(s1 = rexp(10), s2 = rexp(10),
alpha = 0.05, power = 0.9, delta = 0.35)