Equivalence Test using an F-test

[Stable]

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

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).

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.

Details

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

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()