Show 2d fitted regression line with visreg interface

Similar to br_show_fitted_line(), but visualize how two variables interact to affect the response in regression models.

Usage

br_show_fitted_line_2d(breg, idx = 1, ...)

Arguments

breg

A regression object with results (must pass assert_breg_obj_with_results()).

idx

Length-1 vector. Index or name (focal variable) of the model. This is different from idx in br_show_forest_ggstats, only one model is supported to visualized here, so only length-1 vector is supported as idx.

...

Arguments passing to visreg::visreg2d() excepts fit and data.

Value

A plot

See also

Other br_show: br_show_coxph_diagnostics(), br_show_fitted_line(), br_show_forest(), br_show_forest_circle(), br_show_forest_ggstats(), br_show_forest_ggstatsplot(), br_show_nomogram(), br_show_residuals(), br_show_risk_network(), br_show_survival_curves(), br_show_table(), br_show_table_gt()

Examples

if (rlang::is_installed("visreg")) {
  m <- br_pipeline(mtcars,
    y = "mpg",
    x = colnames(mtcars)[2:4],
    x2 = "vs",
    method = "gaussian"
  )

  br_show_fitted_line_2d(m, xvar = "cyl", yvar = "mpg")
}
#> model call: stats::glm(formula = mpg ~ cyl + vs, family = stats::gaussian, data
#> = data)