Comments (3)
m<- lmerTest::lmer(mpg ~ wt+ (1| gear), data=mtcars)
parameters::parameters(anova(m))
#> Parameter | Sum_Squares | df | Mean_Square | F | p
#> -----------------------------------------------------------
#> wt | 526.21 | 1 | 526.21 | 62.20 | < .001
#>
#> Anova Table (Type 3 tests)
Created on 2024-07-09 with reprex v2.0.2
I reckon that's because parameters() doesn't return one by default (@mattansb expert of anovas)
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We've only tested for lme4, which doesn't include the denominator df. Package lmerTest, however, does. This should be fixed in parameters now (easystats/parameters#988).
report still needs to be fixed, though.
m <- lmerTest::lmer(mpg ~ wt + (1 | gear), data = mtcars)
parameters::parameters(anova(m))
#> Parameter | Sum_Squares | df | df (error) | Mean_Square | F | p
#> ------------------------------------------------------------------------
#> wt | 526.21 | 1 | 21.92 | 526.21 | 62.20 | < .001
#>
#> Anova Table (Type 3 tests)
report::report(anova(m))
#> The ANOVA suggests that:
#>
#> - The main effect of wt is statistically significant and large (F(1) = 62.20, p
#> < .001; Eta2 (partial) = 0.74, 95% CI [0.56, 1.00])
#>
#> Effect sizes were labelled following Field's (2013) recommendations.
Created on 2024-07-09 with reprex v2.1.1
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@RenyBB also note that in-general, dfs for mixed models are a tricky business (easystats/parameters#989)
from report.
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