Get Standardization Information
This function extracts information, such as the deviations (SD or MAD) from parent variables, that are necessary for post-hoc standardization of parameters. This function gives a window on how standardized are obtained, i.e., by what they are divided. The "basic" method of standardization uses.
standardize_info( model, robust = FALSE, two_sd = FALSE, include_pseudo = FALSE, ... )
model |
A statistical model. |
robust |
Logical, if |
two_sd |
If |
include_pseudo |
(For (G)LMMs) Should Pseudo-standardized information be included? |
... |
Arguments passed to or from other methods. |
A data frame with information on each parameter (see
parameters::parameters_type), and various standardization coefficients
for the post-hoc methods (see standardize_parameters()
) for the predictor
and the response.
Other standardize:
standardize_parameters()
,
standardize()
model <- lm(mpg ~ ., data = mtcars) standardize_info(model) standardize_info(model, robust = TRUE) standardize_info(model, two_sd = TRUE)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.