Describe the bug
When reporting an ANOVA, the F test has 2 degrees of freedom. report() only shows one
To Reproduce
tibble(
a = sample(LETTERS[1:2], 100, TRUE),
b = sample(LETTERS[1:2], 100, TRUE),
s=rep(LETTERS[1:10], 10),
measure = rnorm(100)
) %>%
lmer(measure ~ a*b + (1|s), .) %>%
anova() %>%
report()
The ANOVA suggests that:
- The main effect of a is statistically not significant and very small (F(1) = 0.04, p = 0.851; Eta2 (partial) = 3.69e-04,
95% CI [0.00, 1.00])
- The main effect of b is statistically not significant and very small (F(1) = 0.69, p = 0.409; Eta2 (partial) = 7.10e-03,
95% CI [0.00, 1.00])
- The interaction between a and b is statistically not significant and very small (F(1) = 7.16e-03, p = 0.933; Eta2 (partial)
= 7.46e-05, 95% CI [0.00, 1.00])
Effect sizes were labelled following Field's (2013) recommendations.
Expected behaviour
The F tests should be reported with 2 degrees of freedom, not just 1.
Specifications (please complete the following information):
report_0.5.8
Describe the bug
When reporting an ANOVA, the F test has 2 degrees of freedom.
report()only shows oneTo Reproduce
Expected behaviour
The F tests should be reported with 2 degrees of freedom, not just 1.
Specifications (please complete the following information):
report_0.5.8