find_low_dens_hex {quollr}

Find low-density Hexagons

Description

This function identifies hexagons with low density based on the mean density of their neighboring hexagons.

Usage

find_low_dens_hex(df_bin_centroids_all, num_bins_x, df_bin_centroids_low)

Arguments

df_bin_centroids_all

The data frame containing all hexagonal bin centroids.

num_bins_x

Number of bins along the x-axis for hexagon binning.

df_bin_centroids_low

The data frame containing identified low-density hexagonal bin centroids.

Value

A vector containing the IDs of hexagons to be removed after investigating their 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)
df_bin_centroids_low <- df_bin_centroids |>
dplyr::filter(std_counts <= 0.43)
find_low_dens_hex(df_bin_centroids_all = df_bin_centroids, num_bins_x = num_bins_x,
df_bin_centroids_low = df_bin_centroids_low)