compute_mean_density_hex {quollr}

Compute mean density of hexagonal bins

Description

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

Usage

compute_mean_density_hex(df_bin_centroids, num_bins_x = NA)

Arguments

df_bin_centroids

A data frame containing information about hexagonal bin centroids, including the hexagon ID and the standard normalized counts (std_counts).

num_bins_x

The number of bins along the x-axis for the hexagonal grid.

Value

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

Examples

num_bins_list <- calc_bins(data = s_curve_noise_umap_scaled, x = "UMAP1",
y = "UMAP2", hex_size = NA, buffer_x = NA, buffer_y = NA)
num_bins_x <- num_bins_list$num_x
num_bins_y <- num_bins_list$num_y
hb_obj <- hex_binning(data = s_curve_noise_umap_scaled,
x = "UMAP1", y = "UMAP2", num_bins_x = num_bins_x,
num_bins_y = num_bins_y, x_start = NA, y_start = NA, buffer_x = NA,
buffer_y = NA, hex_size = NA, col_start = "UMAP")
all_centroids_df <- as.data.frame(do.call(cbind, hb_obj$centroids))
counts_df <- as.data.frame(do.call(cbind, hb_obj$std_cts))
df_bin_centroids <- extract_hexbin_centroids(centroids_df = all_centroids_df,
counts_df = counts_df)
compute_mean_density_hex(df_bin_centroids, num_bins_x = num_bins_x)