When using extremely small values, negative values for power are reported that violate the probability axioms by Kolmogorov. Should they actually stop at alpha or at zero?
Reproducible example:
TOSTER::power_z_cor(n = 10, rho = 0, power = NULL, null = .001, alpha = .05, alternative = "equivalence")
Output:
> TOSTER::power_z_cor(n = 10, rho = 0, power = NULL, null = .001, alpha = .05, alternative = "equivalence")
Approximate Power for Pearson Product-Moment Correlation (z-test)
n = 10
rho = 0
alpha = 0.05
beta = 1.799998
power = -0.7999976
null = 0.001, -0.001
alternative = equivalence
When using extremely small values, negative values for power are reported that violate the probability axioms by Kolmogorov. Should they actually stop at alpha or at zero?
Reproducible example:
TOSTER::power_z_cor(n = 10, rho = 0, power = NULL, null = .001, alpha = .05, alternative = "equivalence")
Output: