Function takes a regression model object and calculated ANOVA using car::Anova().
Examples
lm(AGE ~ ARM, data = cards::ADSL) |>
ard_car_anova()
#> {cards} data frame: 5 x 8
#> variable context stat_name stat_label stat fmt_fn
#> 1 ARM car_anova sumsq sumsq 71.386 1
#> 2 ARM car_anova df Degrees … 2 1
#> 3 ARM car_anova meansq meansq 35.693 1
#> 4 ARM car_anova statistic Statistic 0.523 1
#> 5 ARM car_anova p.value p-value 0.593 1
#> ℹ 2 more variables: warning, error
glm(vs ~ factor(cyl) + factor(am), data = mtcars, family = binomial) |>
ard_car_anova(test.statistic = "Wald")
#> {cards} data frame: 6 x 8
#> variable context stat_name stat_label stat warning
#> 1 factor(cyl) car_anova statistic Statistic 0 glm.fit:…
#> 2 factor(cyl) car_anova df Degrees … 2 glm.fit:…
#> 3 factor(cyl) car_anova p.value p-value 1 glm.fit:…
#> 4 factor(am) car_anova statistic Statistic 0 glm.fit:…
#> 5 factor(am) car_anova df Degrees … 1 glm.fit:…
#> 6 factor(am) car_anova p.value p-value 0.998 glm.fit:…
#> ℹ 2 more variables: fmt_fn, error