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This function maps points to their corresponding hexagonal bins.

Usage

find_pts(data_hb)

Arguments

data_hb

A data frame with data, ID and hexagonal bin IDs.

Value

A tibble with hexagonal bin IDs and the corresponding points.

Examples

r2 <- diff(range(s_curve_noise_umap$UMAP2))/diff(range(s_curve_noise_umap$UMAP1))
all_centroids_df <- gen_centroids(bin1 = 4, r2 = r2, q = 0.1)
umap_with_hb_id <- assign_data(data = s_curve_noise_umap_scaled,
centroid_df = all_centroids_df)
find_pts(data_hb = umap_with_hb_id)
#> # A tibble: 11 × 2
#>    hexID pts_list    
#>    <int> <named list>
#>  1     5 <int [75]>  
#>  2    19 <int [75]>  
#>  3    10 <int [75]>  
#>  4    31 <int [75]>  
#>  5    14 <int [75]>  
#>  6    28 <int [75]>  
#>  7     9 <int [75]>  
#>  8    23 <int [75]>  
#>  9    15 <int [75]>  
#> 10     6 <int [75]>  
#> 11    27 <int [75]>