parameters.md
In quollr: Visualising How Nonlinear Dimension Reduction Warps Your Data

compute_mean_density_hex() works

Code
  compute_mean_density_hex(model_2d = scurve_model_obj$model_2d, b1 = 4)
Condition
  Warning in `compute_mean_density_hex()`:
  There are hexagonal bins that don't have any neighbouring bins.
Output
  # A tibble: 26 x 2
     hb_id mean_density
     <int>        <dbl>
   1    42     NaN     
   2    49       0.012 
   3    52       0.012 
   4    53       0.0113
   5    56       0.0115
   6    57       0.0117
   7    67     NaN     
   8    69       0.011 
   9    70       0.014 
  10    86     NaN     
  # i 16 more rows

find_low_dens_hex() works

Code
  find_low_dens_hex(model_2d = scurve_model_obj$model_2d, b1 = 4,
  benchmark_mean_dens = 0.05)
Condition
  Warning in `compute_mean_density_hex()`:
  There are hexagonal bins that don't have any neighbouring bins.
Output
   [1]  49  52  53  56  57  69  70 197 200 202 205 222 227 232 258 259

Code
  find_low_dens_hex(model_2d = scurve_model_obj$model_2d, b1 = 4,
  benchmark_mean_dens = 0.1)
Condition
  Warning in `compute_mean_density_hex()`:
  There are hexagonal bins that don't have any neighbouring bins.
Output
   [1]  49  52  53  56  57  69  70 197 200 202 205 222 227 232 258 259