power_eq_f {TOSTER} | R Documentation |
Power analysis for TOST for an F-test
power_eq_f(alpha = 0.05, df1, df2, eqbound)
alpha |
alpha used for the test (e.g., 0.05) |
df1 |
Degrees of freedom for the numerator |
df2 |
Degrees of freedom for the denominator |
eqbound |
Equivalence bound for the partial eta-squared |
Object of class '"power.htest"
Campbell, H., & Lakens, D. (2021). Can we disregard the whole model? Omnibus non‐inferiority testing for R2 in multi‐variable linear regression and in ANOVA. British Journal of Mathematical and Statistical Psychology, 74(1), 64-89. doi: 10.1111/bmsp.12201
Other power:
power_t_TOST()
## Statistical power for alpha = 0.05, 3 groups, n = 80 per group, equivalence bound of ## partial eta squared = 0.01, assuming true effect = 0. ## df1 = number of groups - 1 = 3 - 1 = 2. ## df2 = Total N - number of groups = 240 - 3 = 237. power_eq_f(alpha=0.05, df1=3, df2 = 237, eqbound = 0.01)