anova.lm_() is a method for objects of class lm_, extending the standard
stats::anova() functionality.
It returns an ANOVA table similar to the base version but includes additional
metadata such as variable labels (if available), making the output more
informative for interpretation and reporting.
This method is part of the experimental lm_() modeling framework.
# S3 method for class 'lm_'
anova(object, ...)Arguments
- object
An object of class
lm_, typically returned bylm_().- ...
Additional arguments passed to
stats::anova().
Value
An object of class anova_, which inherits from anova and may include
a labels component if available in the original model.
Examples
data(iris)
# Add labels to variables
attr(iris$Sepal.Length, "label") <- "Sepal Length (cm)"
attr(iris$Petal.Length, "label") <- "Petal Length (cm)"
# Fit model using lm_()
model <- lm_(iris, Petal.Length ~ Sepal.Length + Species)
# Get ANOVA table with labels
anova_model <- anova(model)
anova_model
#> Analysis of Variance Table
#>
#> Response: Petal.Length
#> Df Sum Sq Mean Sq F value Pr(>F)
#> Sepal.Length 1 352.87 352.87 4419.48 < 2.2e-16 ***
#> Species 2 99.80 49.90 624.99 < 2.2e-16 ***
#> Residuals 146 11.66 0.08
#> ---
#> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
# Access labels
anova_model$labels
#> NULL