`equ_ftest.Rd`

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

- 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).

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.

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_anova()`