omega: function to calculate the omega squared and f squared effect...
Description Usage Arguments Value Author(s) See Also Examples
Description
this function uses the function fit_aov() to retrieve the contrasts for each independent variable specified in an aov() model and stored in the original dataset, and to fit an ANOVA model on all contrasts for each independent variable, in order to obtained the computed SS and MS for further calculations, otherwise not available from the original ANOVA model as displayed by summary() or summary.lm(), the model fitted for all contrasts of one variable is the same as displayed by summary.lm() on the original ANOVA model this function calculates the omega squared and f squared coefficients from the SS, MS and df calculated by aov() for each independent variable and for each contrast specified for each independent variable
Usage
1 |
Arguments
anova |
an object of class anova data.frame with the ANOVA model created by aov(), in the original dataset each variable must be in only one column, and all contrasts for each variable should be loaded as contrasts for that variable |
Value
the function returns the omega squared and f squared effect sizes for each independent variable specified in the main ANOVA model and for each contrast in the ANOVA model fitted for each independent variable
Author(s)
gerardo esteban antonicelli
See Also
'check_contrasts' 'omega_factorial'
Examples
1 2 3 4 5 6 7 8 | data(gogglesData)
data(depressionData)
goggles.model <- aov(attractiveness ~ gender + alcohol + gender:alcohol, data=gogglesData)
simple.model <- aov(attractiveness ~ simple, data=gogglesData)
depression.model <- aov(diff ~ treat, data=depressionData)
omega(goggles.model)
omega(simple.model)
omega(depression.model)
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