This function is wrapper to nearest, adding is_covered to the model. This
function is explicit about inputs, and is useful in cross validation -
evaluating how test data performs against suggested facilities in the
training set. This might be added to nearest, and may become obsolete.
Usage
augment_user_tested(all_facilities, test_data, distance_threshold = 100)
Arguments
- all_facilities
data.frame Facilities selected in maxcovr model
- test_data
data.frame test data (but it could be any user-type data)
- distance_threshold
numeric
Value
dataframe containing distances between each test data observation
and the nearest facility.
Examples
if (FALSE) { # \dontrun{
mc_cv_relocate_n100_cut |>
mutate(user_nearest_test = map2(
.x = facilities_selected,
.y = test,
.f = augment_user_tested
))
} # }