A wrapper around dplyr::bind_rows
for combining cluster objects created with
qm_create
into a single tibble. Input data for qm_combine
are validated using
qm_is_cluster
as part of the cluster object creation process.
qm_combine(...)
A list of cluster objects to be combined.
A single tibble with all observations from the listed cluster objects. This tibble is
stored with a custom class of qm_cluster
to facilitate data validation.
qm_create
, qm_is_cluster
# load and format reference data
stl <- stLouis
stl <- dplyr::mutate(stl, TRACTCE = as.numeric(TRACTCE))
# create clusters
cluster1 <- qm_define(118600, 119101, 119300)
cluster2 <- qm_define(119300, 121200, 121100)
# create cluster objects
cluster_obj1 <- qm_create(ref = stl, key = TRACTCE, value = cluster1,
rid = 1, cid = 1, category = "positive")
#> old-style crs object detected; please recreate object with a recent sf::st_crs()
cluster_obj2 <- qm_create(ref = stl, key = TRACTCE, value = cluster2,
rid = 1, cid = 2, category = "positive")
#> old-style crs object detected; please recreate object with a recent sf::st_crs()
# combine cluster objects
clusters <- qm_combine(cluster_obj1, cluster_obj2)