combine_terms
Combine terms in a regression model
Description
The function combines terms from a regression model, and replaces the terms
with a single row in the output table. The p-value is calculated using
stats::anova().
Usage
combine_terms(x, formula_update, label = NULL, quiet = NULL, ...)
Arguments
x |
a |
formula_update |
formula update passed to the stats::update.
This updated formula is used to construct a reduced model, and is
subsequently passed to |
label |
Option string argument labeling the combined rows |
quiet |
Logical indicating whether to print messages in console. Default is
|
... |
Additional arguments passed to stats::anova |
Value
tbl_regression object
Example Output
Example 1
Author(s)
Daniel D. Sjoberg
See Also
Other tbl_regression tools:
add_global_p(),
add_q(),
bold_italicize_labels_levels,
inline_text.tbl_regression(),
modify,
tbl_merge(),
tbl_regression(),
tbl_stack()
Examples
# Example 1 ----------------------------------
# Logistic Regression Example, LRT p-value
combine_terms_ex1 <-
glm(
response ~ marker + I(marker^2) + grade,
trial[c("response", "marker", "grade")] %>% na.omit(), # keep complete cases only!
family = binomial
) %>%
tbl_regression(label = grade ~ "Grade", exponentiate = TRUE) %>%
# collapse non-linear terms to a single row in output using anova
combine_terms(
formula_update = . ~ . - marker - I(marker^2),
label = "Marker (non-linear terms)",
test = "LRT"
)