This function is wrapper to
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.
augment_user_tested(all_facilities, test_data, distance_threshold = 100)
data.frame Facilities selected in maxcovr model
data.frame test data (but it could be any
dataframe containing distances between each test data observation and the nearest facility.
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## Not run: mc_cv_relocate_n100_cut %>% mutate(user_nearest_test = map2( .x = facilities_selected, .y = test, .f = augment_user_tested )) ## End(Not run)
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