power_eq_f: F-test Power

In TOSTER: Two One-Sided Tests (TOST) Equivalence Testing

F-test Power

Description

Power analysis for TOST for an F-test

Usage

power_eq_f(alpha = 0.05, df1, df2, eqbound)

Arguments

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

Value

Object of class '"power.htest"

References

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

See Also

Other power: power_t_TOST(), power_z_cor()

Examples

## 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)

TOSTER documentation built on May 29, 2024, 9:57 a.m.