augment_user_tested: Nearest wrapper

In njtierney/copertura: A Set of Tools For Solving The Maximal Covering Location Problem

Description

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

## Not run: 

mc_cv_relocate_n100_cut %>%
  mutate(user_nearest_test = map2(
    .x = facilities_selected,
    .y = test,
    .f = augment_user_tested
    ))


## End(Not run)

njtierney/copertura documentation built on Nov. 13, 2019, 6:37 p.m.