TOSTER (version 0.8.3)

power_eq_f: F-test Power

Description

Power analysis for TOST for an F-test

Usage

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

Value

Object of class '"power.htest"

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

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)