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Check the orthogonality of the trial input rates and observed characteristics provided by the user

Usage

check_ortho_with_chars(td, sp_data_list, vars_list)

Arguments

td

(tibble) trial design data created by make_exp_plots() and assign_rates()

sp_data_list

(list) list of spatial datasets as `sf` from the `sf` package or `SpatRaster` from the `terra` package

vars_list

(list) list of character vectors indicating the name of the variables to be used in the datasets specified in sp_data_list

Value

a list

Examples

data(td_single_input)
yield_sf <- sf::st_read(system.file("extdata", "yield-simple1.shp", package = "ofpetrial"))
#> Reading layer `yield-simple1' from data source 
#>   `/private/var/folders/t4/5gnqprbn38nftyxkyk5hdwmd8hnypy/T/RtmppB2Si5/temp_libpath10b16e3eca68/ofpetrial/extdata/yield-simple1.shp' 
#>   using driver `ESRI Shapefile'
#> Simple feature collection with 3365 features and 1 field
#> Geometry type: POINT
#> Dimension:     XY
#> Bounding box:  xmin: -16.70072 ymin: 39.11962 xmax: -16.69613 ymax: 39.1269
#> Geodetic CRS:  WGS 84
ssurgo_sf <-
  sf::st_read(system.file("extdata", "ssurgo-simple1.shp", package = "ofpetrial")) %>%
  dplyr::mutate(mukey = factor(mukey))
#> Reading layer `ssurgo-simple1' from data source 
#>   `/private/var/folders/t4/5gnqprbn38nftyxkyk5hdwmd8hnypy/T/RtmppB2Si5/temp_libpath10b16e3eca68/ofpetrial/extdata/ssurgo-simple1.shp' 
#>   using driver `ESRI Shapefile'
#> Simple feature collection with 11 features and 9 fields
#> Geometry type: POLYGON
#> Dimension:     XY
#> Bounding box:  xmin: -16.70096 ymin: 39.11957 xmax: -16.69587 ymax: 39.12696
#> Geodetic CRS:  WGS 84
topo_rast <-
  c(
    terra::rast(system.file("extdata", "slope.tif", package = "ofpetrial")),
    terra::rast(system.file("extdata", "twi.tif", package = "ofpetrial"))
  )

checks <-
  check_ortho_with_chars(
    td = td_single_input,
    sp_data_list = list(yield_sf, ssurgo_sf, topo_rast),
    vars_list = list("Yld_Vol_Dr", c("mukey", "clay"), names(topo_rast))
  )
#> Warning: There was 1 warning in `dplyr::mutate()`.
#>  In argument: `checks = purrr::pmap(list(trial_design, spatial_data,
#>   variable), summarize_chars)`.
#> Caused by warning:
#> ! Computation failed in `stat_bin()`.
#> Caused by error in `abs()`:
#> ! non-numeric argument to mathematical function

checks$summary_data[[1]]
#>          var cor_with_rate
#> 1 Yld_Vol_Dr     0.0627133

checks$summary_fig[[1]]