| format_parameters {parameters} | R Documentation |
Parameter names formatting
Description
This functions formats the names of model parameters (coefficients) to make them more human-readable.
Usage
format_parameters(model, ...)
## Default S3 method:
format_parameters(model, brackets = c("[", "]"), ...)
Arguments
model |
A statistical model. |
... |
Currently not used. |
brackets |
A character vector of length two, indicating the opening and closing brackets. |
Value
A (names) character vector with formatted parameter names. The value names refer to the original names of the coefficients.
Interpretation of Interaction Terms
Note that the interpretation of interaction terms depends on many
characteristics of the model. The number of parameters, and overall
performance of the model, can differ or not between a * b
a : b, and a / b, suggesting that sometimes interaction terms
give different parameterizations of the same model, but other times it gives
completely different models (depending on a or b being factors
of covariates, included as main effects or not, etc.). Their interpretation
depends of the full context of the model, which should not be inferred
from the parameters table alone - rather, we recommend to use packages
that calculate estimated marginal means or marginal effects, such as
modelbased, emmeans, ggeffects, or
marginaleffects. To raise awareness for this issue, you may use
print(...,show_formula=TRUE) to add the model-specification to the output
of the print() method for model_parameters().
Examples
model <- lm(Sepal.Length ~ Species * Sepal.Width, data = iris)
format_parameters(model)
model <- lm(Sepal.Length ~ Petal.Length + (Species / Sepal.Width), data = iris)
format_parameters(model)
model <- lm(Sepal.Length ~ Species + poly(Sepal.Width, 2), data = iris)
format_parameters(model)
model <- lm(Sepal.Length ~ Species + poly(Sepal.Width, 2, raw = TRUE), data = iris)
format_parameters(model)