Similar to br_show_fitted_line()
, but visualize how two variables interact to affect the response in regression models.
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 asidx
.- ...
Arguments passing to
visreg::visreg2d()
exceptsfit
anddata
.
See also
Other br_show:
br_show_fitted_line()
,
br_show_forest()
,
br_show_forest_ggstats()
,
br_show_forest_ggstatsplot()
,
br_show_risk_network()
,
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 = gaussian, data =
#> data)