`equ_anova.Rd`

`equ_anova(object, eqbound, MET = FALSE, alpha = 0.05)`

- object
an object of returned by either

`Anova`

,`aov`

, or`afex_aov`

- eqbound
Equivalence 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).

Returns a data frame containing the ANOVA results with equivalence tests added.

The following abbreviations are used in the table:

effect: name of the effect.

df1: Degrees of Freedom in the numerator (i.e. DF effect).

df2: Degrees of Freedom in the denominator (i.e., DF error).

F: F-value.

p.null: p-value (probability of the data given the null hypothesis).

pes: partial Eta-Squared measure of effect size.

eqbound: equivalence bound.

p.equ: p-value (probability of the data given the equivalence hypothesis)

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

.

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 f-test:
`equ_ftest()`