equ_ftest: Equivalence Test using an F-test

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

Equivalence Test using an F-test

Description

Performs equivalence test on the partial eta-squared (pes) value for using an F-test.

Usage

equ_ftest(Fstat, df1, df2, eqbound = NULL, eqb, MET = FALSE, alpha = 0.05)

Arguments

Fstat	The F-statistic from the F-test.
df1	Degrees of freedom for the numerator.
df2	Degrees of freedom for the denominator.
eqbound	Defunct argument for quivalence bound for the partial eta-squared. Default is NULL.
eqb	Defunct argument for quivalence bound for the partial eta-squared.
MET	logical indicator to perform a minimal effect test rather than equivalence test (default is FALSE).
alpha	alpha used for the test (e.g., 0.05).

Details

For details on the calculations in this function see vignette("the_ftestTOSTER").

Value

Object of class '"htest"

• "statistic": The value of the F-statistic.

• "parameter": The degrees of freedom for the F-statistic.

• "p.value": The he p-value for the test.

• "conf.int": A confidence interval for the partial eta-squared statistic.

• "estimate": Estimate of partial eta-squared.

• "null.value": The specified for the equivalence test.

• "method": A string indicating the type of F-test.

• "data.name": A required string indicating that this was calculated from summary statistics.

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 f-test: equ_anova()

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