This function is the workhorse of the apa_print() method
for model comparisons. It takes a data frame of class apa_model_comp and
produces strings to report the results in accordance with APA manuscript
guidelines.
This function is not exported.
print_model_comp(
x,
models = NULL,
conf.int = NULL,
boot_samples = 1000,
progress_bar = FALSE,
in_paren = FALSE,
observed = TRUE
)A data frame of class apa_variance_table as returned by arrange_anova().
List. List containing fitted lm objects that were compared using anova(). If the list is named, element names are used as model names in the output object.
Numeric. Confidence level for the confidence interval for \(\Delta R^2\) if x is a model comparison object of class anova. If conf.int = NULL no confidence intervals are estimated.
Numeric. Number of bootstrap samples to estimate confidence intervals for \(\Delta R^2\) if x is a model comparison object of class anova; ignored if conf.int = NULL.
Logical. Determines whether a progress bar is printed while bootstrapping.
Logical. Whether the formatted string is to be reported in
parentheses. If TRUE, parentheses in the formatted string (e.g., those
enclosing degrees of freedom) are replaced with brackets.
Logical. Indicates whether predictor variables were observed. See details.
arrange_anova(), apa_print.aov()