context("equality of nearest distances")
library(dplyr)
library(tibble)
library(tidyr)
library(maxcovr)
set.seed(2019-11-10)
facility_test_cpp <- york %>%
select(lat, long) %>%
slice(1:100) %>%
as.matrix()
user_test_cpp <- york_crime %>%
select(lat, long) %>%
slice(1:100) %>%
as.matrix()
near_cpp <- nearest_facility_dist(facility = facility_test_cpp,
user = user_test_cpp)
# old dplyr way ===============================================================
facility <- dplyr::mutate(york, key = 1) %>%
dplyr::rename(lat_facility = lat,
long_facility = long) %>%
# create an ID for each row
dplyr::mutate(facility_id = 1:dplyr::n()) %>%
slice(1:100)
user <- dplyr::mutate(york_crime, key = 1) %>%
dplyr::rename(lat_user = lat,
long_user = long) %>%
dplyr::mutate(user_id = 1:dplyr::n()) %>%
slice(1:100)
near_dplyr <- user %>%
dplyr::left_join(facility,
by = "key") %>%
dplyr::mutate(distance = spherical_distance(lat1 = lat_user,
long1 = long_user,
lat2 = lat_facility,
long2 = long_facility)) %>%
# drop key
dplyr::select(-key) %>%
dplyr::arrange(distance) %>%
dplyr::group_by(user_id) %>%
# find those that are closest to each other
dplyr::mutate(rank_distance = 1:dplyr::n()) %>%
dplyr::ungroup() %>%
dplyr::filter(rank_distance == 1) %>%
# drop the rank_distance
dplyr::select(-rank_distance)
near_dplyr_test <- near_dplyr %>%
dplyr::arrange(user_id,
facility_id) %>%
dplyr::select(distance) %>%
as.matrix()
near_cpp_test <- near_cpp %>%
tibble::as_tibble() %>%
dplyr::rename(user_id = V1,
facility_id = V2,
distance = V3) %>%
dplyr::arrange(user_id,
facility_id) %>%
dplyr::select(distance) %>%
as.matrix()
testthat::test_that("Nearest distances in cpp are same as dplyr method",{
testthat::expect_equal(near_dplyr_test,near_cpp_test, check.attributes = FALSE)
})
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.