check_contrasts should contrasts be checked and changed to
sum-to-zero contrasts? Default is TRUE.
type type of sums-of-squares to be used for testing effects,
default is 3 which reports Type 3 tests.
method_mixed: Method used to obtain p-values in
mixed, default is "KR" (which will change to
"LRT" soon). (mixed() only)
es_aov: Effect size reported for ANOVAs (see
aov_car), default is "ges" (generalized eta-squared).
correction_aov: Correction used for within-subjects factors with
more than two levels for ANOVAs (see aov_car or
nice), default is "GG" (Greenhouse-Geisser correction).
(ANOVA functions only)
emmeans_model: Which model should be used by emmeans for
follow-up analysis of ANOVAs (i.e., objects pf class "afex_aov")?
Default is "univariate" which uses the aov model object (if
present). The other option is "multivariate" which uses the lm
model object (which is an object of class "mlm" in case
repeated-measures factors are present).
include_aov: Should the aov model be included into ANOVA objects of class "afex_aov"? Setting this to FALSE can lead to considerable speed improvements.
factorize: Should between subject factors be factorized (with
note) before running the analysis? Default is TRUE. (ANOVA functions
only)
sig_symbols: Default significant symbols used for ANOVA and
mixed printing. Default isc(" +", " *", " **", " ***").
lmer_function: Which lmer function should mixed or
lmer_alt use. The default is "lmerTest" which uses
lmer, "lme4" is also possible which uses
lmer. Note that mixed methods "KR" and
"S" only work with "lmerTest". For the other methods,
"lme4" could be minimally faster, but does not allow to use
lmerTest::anova().
return_aov: Return value of the ANOVA functions (see
aov_car), default is "nice".