Provides a preview of the weight options for areal weighted interpolation.
This can be useful for selecting the final specification for aw_interpolate
without having to construct a pipeline of all of the subfunctions manually.
aw_preview_weights(.data, tid, source, sid, type)
.data | A |
---|---|
tid | A unique identification number within |
source | A |
sid | A unique identification number within |
type | One of either |
A tibble with the areal weights that would be used for interpolation if type
is either "extensive"
or "intensive"
. If it is mixed, two tibbles (one for
"extensive"
and one for "intensive"
) are returned as a list.
aw_preview_weights(ar_stl_wards, tid = WARD, source = ar_stl_race, sid = GEOID, type = "extensive")#> # A tibble: 106 x 3 #> GEOID extensiveSum extensiveTotal #> <chr> <dbl> <dbl> #> 1 29510101100 1 0.999 #> 2 29510101200 1 1.00 #> 3 29510101300 1 1.00 #> 4 29510101400 1 1.00 #> 5 29510101500 1 0.998 #> 6 29510101800 1 0.978 #> 7 29510102100 1 0.991 #> 8 29510102200 1 0.999 #> 9 29510102300 1 0.999 #> 10 29510102400 1 1.00 #> # … with 96 more rowsaw_preview_weights(ar_stl_wards, tid = WARD, source = ar_stl_asthma, sid = GEOID, type = "intensive")#> # A tibble: 28 x 2 #> WARD intensive #> <int> <dbl> #> 1 1 1.00 #> 2 2 1 #> 3 3 1 #> 4 4 1 #> 5 5 1 #> 6 6 1 #> 7 7 1.00 #> 8 8 1 #> 9 9 1 #> 10 10 1 #> # … with 18 more rows