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
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.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.