spatial_vfold_cv.md
In spatialsample: Spatial Resampling Infrastructure

erroring when no S2

Code
  spatial_buffer_vfold_cv(ames_sf, buffer = 500, radius = NULL)
Condition
  Error in `spatial_buffer_vfold_cv()`:
  ! `spatial_buffer_vfold_cv()` can only process geographic coordinates when using the s2 geometry library.
  i Reproject your data into a projected coordinate reference system using `sf::st_transform()`.
  i Or install the `s2` package and enable it using `sf::sf_use_s2(TRUE)`.

Code
  suppressMessages(spatial_leave_location_out_cv(ames_sf, Neighborhood, buffer = 500))
Condition
  Error in `spatial_leave_location_out_cv()`:
  ! Buffering can only process geographic coordinates when using the s2 geometry library.
  i Reproject your data into a projected coordinate reference system using `sf::st_transform()`.
  i Or install the `s2` package and enable it using `sf::sf_use_s2(TRUE)`.

spatial_buffer_vfold_cv

Code
  rs1
Output
  #  2-fold spatial cross-validation 
  # A tibble: 4 x 3
    splits              id      id2  
    <list>              <chr>   <chr>
  1 <split [1465/1465]> Repeat1 Fold1
  2 <split [1465/1465]> Repeat1 Fold2
  3 <split [1465/1465]> Repeat2 Fold1
  4 <split [1465/1465]> Repeat2 Fold2

spatial_leave_location_out_cv

Code
  rs1
Output
  #  2-fold spatial leave-location-out cross-validation 
  # A tibble: 4 x 3
    splits              id      id2      
    <list>              <chr>   <chr>    
  1 <split [1268/1662]> Repeat1 Resample1
  2 <split [1662/1268]> Repeat1 Resample2
  3 <split [1548/1382]> Repeat2 Resample1
  4 <split [1382/1548]> Repeat2 Resample2

bad args

Code
  spatial_buffer_vfold_cv(ames_sf, radius = NULL)
Condition
  Error in `spatial_buffer_vfold_cv()`:
  ! `spatial_buffer_vfold_cv()` requires both `radius` and `buffer` be provided.
  i Use `NULL` for resampling without one of `radius` or `buffer`, like `radius = NULL, buffer = 5000`.

Code
  spatial_buffer_vfold_cv(ames_sf, buffer = 500)
Condition
  Error in `spatial_buffer_vfold_cv()`:
  ! `spatial_buffer_vfold_cv()` requires both `radius` and `buffer` be provided.
  i Use `NULL` for resampling without one of `radius` or `buffer`, like `radius = NULL, buffer = 5000`.

Code
  spatial_buffer_vfold_cv(ames_sf)
Condition
  Error in `spatial_buffer_vfold_cv()`:
  ! `spatial_buffer_vfold_cv()` requires both `radius` and `buffer` be provided.
  i Use `NULL` for resampling without one of `radius` or `buffer`, like `radius = NULL, buffer = 5000`.
  i Or use `rsample::vfold_cv() to use a non-spatial V-fold.

Code
  spatial_leave_location_out_cv(ames)
Condition
  Error in `rsample::group_vfold_cv()`:
  ! `group` should be a single character value for the column that will be used for splitting.

Code
  spatial_leave_location_out_cv(ames, Neighborhood, buffer = 500)
Condition
  Error in `spatial_leave_location_out_cv()`:
  ! Buffering currently only supports `sf` objects.
  i Try converting `data` to an `sf` object via `sf::st_as_sf()`.

Code
  spatial_leave_location_out_cv(ames_sf, v = c(5, 10))
Condition
  Error in `rsample::group_vfold_cv()`:
  ! `group` should be a single character value for the column that will be used for splitting.

Code
  spatial_buffer_vfold_cv(ames_sf, v = c(5, 10), buffer = NULL, radius = NULL)
Condition
  Error in `spatial_buffer_vfold_cv()`:
  ! `v` must be a single positive integer.

Code
  spatial_leave_location_out_cv(ames_sf, Neighborhood, v = 60)
Condition
  Warning in `spatial_leave_location_out_cv()`:
  Fewer than 60 locations available for sampling
  i Setting `v` to 28
Output
  #  28-fold spatial leave-location-out cross-validation 
  # A tibble: 28 x 2
     splits             id        
     <list>             <chr>     
   1 <split [2816/114]> Resample01
   2 <split [2928/2]>   Resample02
   3 <split [2799/131]> Resample03
   4 <split [2827/103]> Resample04
   5 <split [2902/28]>  Resample05
   6 <split [2920/10]>  Resample06
   7 <split [2886/44]>  Resample07
   8 <split [2691/239]> Resample08
   9 <split [2779/151]> Resample09
  10 <split [2748/182]> Resample10
  # i 18 more rows

Code
  spatial_buffer_vfold_cv(boston_canopy, v = 683, buffer = NULL, radius = NULL)
Condition
  Warning in `spatial_buffer_vfold_cv()`:
  Fewer than 683 rows available for sampling
  i Setting `v` to 682
Output
  #  682-fold spatial cross-validation 
  # A tibble: 682 x 2
     splits          id     
     <list>          <chr>  
   1 <split [681/1]> Fold001
   2 <split [681/1]> Fold002
   3 <split [681/1]> Fold003
   4 <split [681/1]> Fold004
   5 <split [681/1]> Fold005
   6 <split [681/1]> Fold006
   7 <split [681/1]> Fold007
   8 <split [681/1]> Fold008
   9 <split [681/1]> Fold009
  10 <split [681/1]> Fold010
  # i 672 more rows

Repeated cross-validation doesn't make sense when performing leave-one-out cross-validation.
i Set `v` to a lower value.
i Or set `repeats = 1`.

Repeated resampling when `v` is 28 would create identical resamples

printing

#  10-fold spatial block cross-validation 
# A tibble: 10 x 2
   splits             id    
   <list>             <chr> 
 1 <split [2524/406]> Fold01
 2 <split [2656/274]> Fold02
 3 <split [2476/454]> Fold03
 4 <split [2771/159]> Fold04
 5 <split [2607/323]> Fold05
 6 <split [2762/168]> Fold06
 7 <split [2718/212]> Fold07
 8 <split [2665/265]> Fold08
 9 <split [2642/288]> Fold09
10 <split [2549/381]> Fold10