View source: R/check_homogeneity.R
check_homogeneity | R Documentation |
Check model for homogeneity of variances between groups described by independent variables in a model.
check_homogeneity(x, method = c("bartlett", "fligner", "levene", "auto"), ...)
## S3 method for class 'afex_aov'
check_homogeneity(x, method = "levene", ...)
x |
A linear model or an ANOVA object. |
method |
Name of the method (underlying test) that should be performed
to check the homogeneity of variances. May either be |
... |
Arguments passed down to |
Invisibly returns the p-value of the test statistics. A p-value < 0.05 indicates a significant difference in the variance between the groups.
There is also a plot()
-method
implemented in the see-package.
Other functions to check model assumptions and and assess model quality:
check_autocorrelation()
,
check_collinearity()
,
check_convergence()
,
check_heteroscedasticity()
,
check_model()
,
check_outliers()
,
check_overdispersion()
,
check_predictions()
,
check_singularity()
,
check_zeroinflation()
model <<- lm(len ~ supp + dose, data = ToothGrowth)
check_homogeneity(model)
# plot results
if (require("see")) {
result <- check_homogeneity(model)
plot(result)
}
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