This uses a user
dataframe obtained from something like
augment_user_tested
.
Arguments
- user
dataframe of users with distances between each user and the
nearest facility (distance
), and whether this is within the distance
threshold (is_covered
).
Value
dataframe containing information on the number of users, the number
of events covered, the proportion of events covered, and the distance from
each
Examples
if (FALSE) { # \dontrun{
summarise_user_cov(augmented_user_test)
} # }