Compute mean density of hexagonal bins — compute_mean_density

This function calculates the mean density of hexagonal bins based on their neighboring bins.

Usage

compute_mean_density_hex(df_bin_centroids, bin1)

Arguments

df_bin_centroids: A tibble that contains information about hexagonal bin centroids, including the hexagon ID and the standard normalized counts (std_counts).
bin1: The number of bins along the x-axis for the hexagonal grid.

Value

A tibble contains hexagonal IDs and the mean density of each hexagonal bin based on its neighboring bins.

Examples

num_bins_x <- 4
df_bin_centroids <- df_bin_centroids <- s_curve_obj$s_curve_umap_model_obj$df_bin_centroids
compute_mean_density_hex(df_bin_centroids, bin1 = num_bins_x)
#> # A tibble: 15 × 2
#>    hb_id mean_density
#>    <int>        <dbl>
#>  1     1        0.610
#>  2     2        0.394
#>  3     3        0.375
#>  4     5        0.397
#>  5     6        0.393
#>  6     7        0.337
#>  7     8        0.555
#>  8    11        0.785
#>  9    12        0.360
#> 10    13        0.383
#> 11    14        0.556
#> 12    15        0.390
#> 13    17        0.567
#> 14    18        0.464
#> 15    19        0.705