CODEWITHSUNDEEP
rstatistics
poldi
poldi

Reputation: 11

F-Statistics instead Chi Square for ANOVA results

can anyone tell me how to get other output statistics for my ANOVA results? I want a result table with the sum of squares (SS), the number of degrees of freedom (df), the F-statistic and the corresponding p-value.

But so far I only get Chisq, Df, Pr(>Chisq) output.

Thanks in advance for the help.

# Fit the classical model
model1 <- lmer(avgAmplitude ~ stimulusAge * stimulusResponse * congruency * subjectType + (1|id), data = dataset1)
library (car)
Anova(model1)

Here an excerpt of the data frame

Upvotes: 1

Views: 741

Answers (1)

jay.sf
jay.sf

Reputation: 73842

Set the test.statistic= argument to "F"

fm1 <- lmer(Reaction ~ Days + (1 | Subject), sleepstudy)
car::Anova(fm1, test.statistic="F")
# Analysis of Deviance Table (Type II Wald F tests with Kenward-Roger df)
# 
# Response: Reaction
#          F Df Df.res    Pr(>F)    
# Days 169.4  1    161 < 2.2e-16 ***
# ---
# Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

By the way, this is also in the documentation ?car::Anova ;)

Upvotes: 1

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