eta_squared: Effect Size for ANOVA
In kassambara/rstatix: Pipe-Friendly Framework for Basic Statistical Tests
eta_squared R Documentation
Effect Size for ANOVA
Description
Compute eta-squared and partial eta-squared for all terms in an
ANOVA model.
Usage
eta_squared(model)
partial_eta_squared(model)
Arguments
model
an object of class aov or anova.
Value
a numeric vector with the effect size statistics
Functions
-
eta_squared(): compute eta squared
-
partial_eta_squared(): compute partial eta squared.
Examples
# Data preparation
df <- ToothGrowth
df$dose <- as.factor(df$dose)
# Compute ANOVA
res.aov <- aov(len ~ supp*dose, data = df)
summary(res.aov)
# Effect size
eta_squared(res.aov)
partial_eta_squared(res.aov)
kassambara/rstatix documentation built on Feb. 6, 2023, 3:36 a.m.
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| eta_squared | R Documentation |
Effect Size for ANOVA
Description
Compute eta-squared and partial eta-squared for all terms in an ANOVA model.
Usage
eta_squared(model) partial_eta_squared(model)
Arguments
model |
an object of class aov or anova. |
Value
a numeric vector with the effect size statistics
Functions
-
eta_squared(): compute eta squared -
partial_eta_squared(): compute partial eta squared.
Examples
# Data preparation df <- ToothGrowth df$dose <- as.factor(df$dose) # Compute ANOVA res.aov <- aov(len ~ supp*dose, data = df) summary(res.aov) # Effect size eta_squared(res.aov) partial_eta_squared(res.aov)
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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