revdep/checks.noindex/waywiser/old/waywiser.Rcheck/tests/testthat/_snaps/global_moran.md

In AFIT-R/vip: Variable Importance Plots

Global Moran statistics are stable

Code
  df_global_i <- ww_global_moran_i(guerry_modeled, Crm_prs, predictions)
  df_global_i[1:3]
Output
  # A tibble: 1 x 3
    .metric        .estimator .estimate
    <chr>          <chr>          <dbl>
  1 global_moran_i standard       0.412

Code
  df_global_i_p <- ww_global_moran_pvalue(guerry_modeled, Crm_prs, predictions)
  df_global_i_p[1:3]
Output
  # A tibble: 1 x 3
    .metric             .estimator .estimate
    <chr>               <chr>          <dbl>
  1 global_moran_pvalue standard    7.23e-10

Code
  (vec_global_i <- ww_global_moran_i_vec(guerry_modeled$Crm_prs, guerry_modeled$
    predictions, weights))
Output
  [1] 0.4115652

Code
  (vec_global_i_p <- ww_global_moran_pvalue_vec(guerry_modeled$Crm_prs,
  guerry_modeled$predictions, weights))
Output
  [1] 7.234758e-10

AFIT-R/vip documentation built on Aug. 22, 2023, 8:59 a.m.