[R-sig-ME] Assessing whether sigma for a random effects parameter is equal to 0
David Duffy
D@v|d@Du||y @end|ng |rom q|mrbergho|er@edu@@u
Wed Oct 14 14:27:50 CEST 2020
> LRT = 8.1423, p-value = 0.0014
> Is this result implying that the standard deviation for the random effect is significant such that we reject
> the null hypothesis and that H0: sigma = 0 is false?
Yes. And crosscheck
anova(lm(diameter ~ sample + factor(sample), data=pistonrings))
Analysis of Variance Table
Response: diameter
Df Sum Sq Mean Sq F value Pr(>F)
sample 1 0.0022175 0.00221755 22.2785 5.115e-06 ***
factor(sample) 38 0.0077962 0.00020516 2.0612 0.001039 **
Residuals 160 0.0159260 0.00009954
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Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
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