Compute Blau's Index

ds_blau(.data, .cols, .name)

blau(..., .data = dplyr::cur_data_all())

Arguments

.data

tibble

.cols

tidy-select Columns to compute the measure with.

.name

name for column with Blau index. Leave missing to return a vector.

...

arguments to forward to ds_blau from blau

Value

a tibble or numeric vector if .name missing

Examples

data("de_county") ds_blau(de_county, starts_with('pop_'))
#> [1] 0.5155228 0.5570435 0.4052769
ds_blau(de_county, starts_with('pop_'), 'blau')
#> Simple feature collection with 3 features and 21 fields #> Geometry type: MULTIPOLYGON #> Dimension: XY #> Bounding box: xmin: -75.78866 ymin: 38.45101 xmax: -75.04894 ymax: 39.83901 #> Geodetic CRS: NAD83 #> # A tibble: 3 × 22 #> GEOID NAME pop pop_white pop_black pop_hisp pop_aian pop_asian pop_nhpi #> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 10001 Kent Co… 162310 105891 37812 9346 916 3266 74 #> 2 10003 New Cas… 538479 331836 124426 46921 984 23132 102 #> 3 10005 Sussex … 197145 149025 24544 16954 924 1910 62 #> # … with 13 more variables: pop_other <dbl>, pop_two <dbl>, vap <dbl>, #> # vap_white <dbl>, vap_black <dbl>, vap_hisp <dbl>, vap_aian <dbl>, #> # vap_asian <dbl>, vap_nhpi <dbl>, vap_other <dbl>, vap_two <dbl>, #> # blau <dbl>, geometry <MULTIPOLYGON [°]>