Compute standardize counts in hexagons — compute_std

This function computes the standardize number of points within each hexagon.

Usage

compute_std_counts(data_hb)

Arguments

data_hb: A tibble with embedding and hexagonal bin IDs.

Value

A tibble that contains hexagon IDs and the corresponding standardize counts.

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)
compute_std_counts(data_hb = umap_with_hb_id)
#> # A tibble: 11 × 3
#>    hb_id     n std_counts
#>    <int> <int>      <dbl>
#>  1     5    14      1    
#>  2     6     3      0.214
#>  3     9     3      0.214
#>  4    10     6      0.429
#>  5    14     9      0.643
#>  6    15     2      0.143
#>  7    19    11      0.786
#>  8    23     4      0.286
#>  9    27     9      0.643
#> 10    28     9      0.643
#> 11    31     5      0.357