misc_yardstick.md
In waywiser: Ergonomic Methods for Assessing Spatial Models

passing functions to build weights

Code
  df_local_i <- ww_local_getis_ord_g(guerry_modeled, Crm_prs, predictions, wt = ww_build_weights)
  df_local_i[1:3]
Output
  # A tibble: 85 x 3
     .metric           .estimator .estimate
     <chr>             <chr>          <dbl>
   1 local_getis_ord_g standard       0.913
   2 local_getis_ord_g standard       2.49 
   3 local_getis_ord_g standard       2.15 
   4 local_getis_ord_g standard      -1.58 
   5 local_getis_ord_g standard      -1.19 
   6 local_getis_ord_g standard      -1.68 
   7 local_getis_ord_g standard       0.627
   8 local_getis_ord_g standard      -1.60 
   9 local_getis_ord_g standard       0.964
  10 local_getis_ord_g standard      -2.71 
  # i 75 more rows

edge cases

Code
  ww_local_getis_ord_g(guerry_modeled, Crm_prs, predictions, wt = list())
Condition
  Error in `ww_local_getis_ord_g()`:
  ! `wt` must be a 'listw' object
  i You can create 'listw' objects using `ww_build_weights()`

Code
  ww_local_getis_ord_g_vec(as.character(crm), prd, structure(list(), class = "listw"))
Condition
  Error in `yardstick_vec()`:
  ! `truth` must be numeric.

Code
  ww_local_getis_ord_g_vec(crm, as.character(prd), structure(list(), class = "listw"))
Condition
  Error in `yardstick_vec()`:
  ! `estimate` must be numeric.

Code
  ww_local_getis_ord_g_vec(as.matrix(crm), prd, structure(list(), class = "listw"))
Condition
  Error in `yardstick_vec()`:
  ! `truth` must be a numeric vector.

Code
  ww_local_getis_ord_g_vec(crm, as.matrix(prd), structure(list(), class = "listw"))
Condition
  Error in `yardstick_vec()`:
  ! `estimate` must be a numeric vector.

Code
  ww_local_getis_ord_g_vec(crm, numeric(), structure(list(), class = "listw"))
Condition
  Error in `yardstick_vec()`:
  ! Length of `truth` (85) and `estimate` (0) must match.

Code
  ww_local_getis_ord_g_vec(crm, prd, structure(list(), class = "listw"),
  na_action = na.omit)
Condition
  Error in `spatial_yardstick_vec()`:
  ! Missing values in data.
  i waywiser can't handle missing data for functions that use spatial weights.

Code
  withr::with_seed(123, ww_local_getis_ord_g_vec(crm, prd, structure(list(),
  class = "listw"), na_action = function(x) runif(sample(1:100, sample(1:100, 1)))))
Condition
  Error in `spatial_yardstick_vec()`:
  ! Missing values in data.
  i waywiser can't handle missing data for functions that use spatial weights.