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Formatted model coefficients table

Source: R/tables.R
tl_table_coefficients.Rd

Produces a styled gt table of model coefficients. Supports linear, polynomial, logistic, ridge, lasso, and elastic net models. The numbers come from tl_coefficients, which returns them as a tibble if you would rather format them yourself.

Usage

tl_table_coefficients(
  model,
  lambda = "1se",
  digits = 4,
  conf_int = FALSE,
  level = 0.95,
  exponentiate = FALSE,
  ...
)

Arguments

model

A tidylearn model object

lambda

For regularised models: "1se" (default), "min", or a numeric penalty within the fitted path

digits

Number of decimal places (default: 4)

conf_int

Whether to add a confidence interval (default: FALSE). Not available for regularised models.

level

Confidence level for the interval (default: 0.95)

exponentiate

Whether to report odds ratios rather than log odds (default: FALSE). Classification models only.

...

Additional arguments (currently unused)

Value

A gt table object.

See also

tl_coefficients for the underlying tibble.

Examples

# \donttest{
model <- tl_model(mtcars, mpg ~ wt + hp, method = "linear")
tl_table_coefficients(model)



  
Linear Model Coefficients
    
Term
      Estimate
      Std. Error
      t value
      p
      
    
(Intercept)
37.2273
1.5988
23.2847
2.57 × 10−20
*
wt
−3.8778
0.6327
−6.1287
1.12 × 10−6
*
hp
−0.0318
0.0090
−3.5187
1.45 × 10−3
*
tidylearn | linear (regression) | mpg ~ wt + hp | n = 32
    
tl_table_coefficients(model, conf_int = TRUE)



  
Linear Model Coefficients
    
Wald 95% intervals
    
Term
      Estimate
      Std. Error
      Lower 95%
      Upper 95%
      t value
      p
      
    
(Intercept)
37.2273
1.5988
33.9574
40.4972
23.2847
2.57 × 10−20
*
wt
−3.8778
0.6327
−5.1719
−2.5837
−6.1287
1.12 × 10−6
*
hp
−0.0318
0.0090
−0.0502
−0.0133
−3.5187
1.45 × 10−3
*
tidylearn | linear (regression) | mpg ~ wt + hp | n = 32
    
# }