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[Stable]

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

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 = gaussian, data =
#> data)